130 Machine Learning jobs in Ohio
Machine Learning Engineer
43201 Columbus, Ohio
Ensono
Posted 1 day ago
Job Viewed
Job Description
Machine Learning EngineerRemote - United StatesJR
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** . Our **Envision Operating System** is the platform that makes this shift possible, bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you'll be the **builder who takes models from notebooks to production systems** . You'll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** -people who thrive at the intersection of code, models, and operations. You'll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision. Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don't just exist in theory, they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you're the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that's **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** - Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** - Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** - Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** - Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** - Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** - Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**What You Will Need:**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** - You take pride in moving models out of slides and into production.
+ **Builder at Heart** - You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** - You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** - You bridge the gap between Data Scientists and Ops teams, speaking both "ML" and "production."
+ **Continuous Improver** - Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
+ Unlimited Paid Day Off (PDO) Plan
+ Two robust health plan options through Blue Cross Blue Shield
+ 401(k) with a generous company match
+ Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
+ Depending on location, ability to take advantage of fitness centers
+ Wellness program
+ Flexible work schedule
As of the date of this posting, a good faith estimate of the current pay scale for this role is$80,000 to $148,000annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.
Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
Pay transparency nondiscrimination statement/posting OFCCP's pay transparency policy can be found on OFCCP's website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email .
JR
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** . Our **Envision Operating System** is the platform that makes this shift possible, bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you'll be the **builder who takes models from notebooks to production systems** . You'll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** -people who thrive at the intersection of code, models, and operations. You'll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision. Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don't just exist in theory, they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you're the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that's **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** - Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** - Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** - Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** - Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** - Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** - Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**What You Will Need:**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** - You take pride in moving models out of slides and into production.
+ **Builder at Heart** - You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** - You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** - You bridge the gap between Data Scientists and Ops teams, speaking both "ML" and "production."
+ **Continuous Improver** - Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
+ Unlimited Paid Day Off (PDO) Plan
+ Two robust health plan options through Blue Cross Blue Shield
+ 401(k) with a generous company match
+ Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
+ Depending on location, ability to take advantage of fitness centers
+ Wellness program
+ Flexible work schedule
As of the date of this posting, a good faith estimate of the current pay scale for this role is$80,000 to $148,000annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.
Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
Pay transparency nondiscrimination statement/posting OFCCP's pay transparency policy can be found on OFCCP's website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email .
JR
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0
Software Engineer, Machine Learning
43201 Columbus, Ohio
Meta
Posted 7 days ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
9. Telecommuting from anywhere in the US allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation
11. Requires 12 months of experience involving the following:
12. Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
13. Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
14. Translating insights into business recommendations
15. Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
16. Scripting languages such as Perl, Python, PHP, and shell scripts
17. C, C++, Java, or C#
18. Python, PHP, or Haskell
19. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. Building highly-scalable performant solutions
21. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$215,356/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
9. Telecommuting from anywhere in the US allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation
11. Requires 12 months of experience involving the following:
12. Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
13. Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
14. Translating insights into business recommendations
15. Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
16. Scripting languages such as Perl, Python, PHP, and shell scripts
17. C, C++, Java, or C#
18. Python, PHP, or Haskell
19. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. Building highly-scalable performant solutions
21. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$215,356/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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1
Software Engineer, Machine Learning
43201 Columbus, Ohio
Meta
Posted 7 days ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
9. Telecommuting from anywhere in the US allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation
11. Requires 12 months of experience involving the following:
12. Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
13. Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
14. Translating insights into business recommendations
15. Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
16. Scripting languages such as Perl, Python, PHP, and shell scripts
17. C, C++, Java, or C#
18. Python, PHP, or Haskell
19. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. Building highly-scalable performant solutions
21. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$215,356/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
9. Telecommuting from anywhere in the US allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation
11. Requires 12 months of experience involving the following:
12. Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
13. Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
14. Translating insights into business recommendations
15. Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
16. Scripting languages such as Perl, Python, PHP, and shell scripts
17. C, C++, Java, or C#
18. Python, PHP, or Haskell
19. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. Building highly-scalable performant solutions
21. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$215,356/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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2
Sr Machine Learning Engineer
43201 Columbus, Ohio
The Hartford
Posted 8 days ago
Job Viewed
Job Description
Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford's Personal Lines Data Analytics team seeks energetic and passionate Senior Machine Learning Engineer to help build and scale our next-generation Machine Learning Operations (MLOps) & Generative AI (GenAI) platforms. This role blends software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. You will be instrumental in enabling our data science teams to deploy models efficiently and responsibly in production environments.
We are looking for talent who embraces our core values:
+ We build artificial intelligence/machine learning solutions, not models. We support end-to-end business problems with a focus on systems design.
+ We are trusted and transparent, collaborating closely with our partners and considering their capacity for change.
+ Our products are delivered with full monitoring solutions to ensure they continue to perform as expected.
+ We listen carefully to our customers and become partners in problem-solving with humble confidence.
+ We deliver minimally viable products first and expand their sophistication over time based on feedback.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
RESPONSIBILITIES
+ Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale.
+ Participate in identifying and assessing opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage.
+ Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
+ Accountable for the ownership of design, development, and maintenance of MLOps and GenAI platforms and services.
+ Work with junior engineers and peers to provide mentorship and thought leadership.
+ Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
+ Delivery of critical milestones for model deployment in the Google Cloud Platform (GCP) and AWS cloud.
+ Develop, adopt, and promote MLOps best practices to the Data Science community.
+ Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments .
+ Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks.
Requirements:
+ Must be authorized to work in the U.S. now and in the future.
+ Bachelor's degree in related field and 5+ years of experience.
+ Solid understanding of ML lifecycle: model training, deployment, monitoring, and feedback loops.
+ Strong application development experience using Python.
+ 3+ years of hands-on experience developing with one of the public clouds including t ools and techniques to auto scale systems.
+ Experience with CI/CD and IAC tools (e.g., terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
+ Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns.
+ Exposure to agentic AI architectures and prompt engineering.
+ Good understanding and experience building orchestration framework for real-time and batch model services.
+ Good understanding of various model development algorithms and types of ML use cases e.g., regression, classification, etc.
+ Strong fundamental knowledge of data structures and algorithms
Preferred Skills:
+ Development experience for WebService API with AWS suite of Tools.
+ Familiarity with big data technologies (i.e., Hadoop, Spark, Hive, etc.) and RDBMS.
+ Hands-on experience with public cloud GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.
+ Basic understanding of ML frameworks i.e., Tensorflow, Scikit Learn, etc.
+ Experience with Agile framework and scrum/Kanban based project management.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford's Personal Lines Data Analytics team seeks energetic and passionate Senior Machine Learning Engineer to help build and scale our next-generation Machine Learning Operations (MLOps) & Generative AI (GenAI) platforms. This role blends software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. You will be instrumental in enabling our data science teams to deploy models efficiently and responsibly in production environments.
We are looking for talent who embraces our core values:
+ We build artificial intelligence/machine learning solutions, not models. We support end-to-end business problems with a focus on systems design.
+ We are trusted and transparent, collaborating closely with our partners and considering their capacity for change.
+ Our products are delivered with full monitoring solutions to ensure they continue to perform as expected.
+ We listen carefully to our customers and become partners in problem-solving with humble confidence.
+ We deliver minimally viable products first and expand their sophistication over time based on feedback.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
RESPONSIBILITIES
+ Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale.
+ Participate in identifying and assessing opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage.
+ Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
+ Accountable for the ownership of design, development, and maintenance of MLOps and GenAI platforms and services.
+ Work with junior engineers and peers to provide mentorship and thought leadership.
+ Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
+ Delivery of critical milestones for model deployment in the Google Cloud Platform (GCP) and AWS cloud.
+ Develop, adopt, and promote MLOps best practices to the Data Science community.
+ Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments .
+ Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks.
Requirements:
+ Must be authorized to work in the U.S. now and in the future.
+ Bachelor's degree in related field and 5+ years of experience.
+ Solid understanding of ML lifecycle: model training, deployment, monitoring, and feedback loops.
+ Strong application development experience using Python.
+ 3+ years of hands-on experience developing with one of the public clouds including t ools and techniques to auto scale systems.
+ Experience with CI/CD and IAC tools (e.g., terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).
+ Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns.
+ Exposure to agentic AI architectures and prompt engineering.
+ Good understanding and experience building orchestration framework for real-time and batch model services.
+ Good understanding of various model development algorithms and types of ML use cases e.g., regression, classification, etc.
+ Strong fundamental knowledge of data structures and algorithms
Preferred Skills:
+ Development experience for WebService API with AWS suite of Tools.
+ Familiarity with big data technologies (i.e., Hadoop, Spark, Hive, etc.) and RDBMS.
+ Hands-on experience with public cloud GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.
+ Basic understanding of ML frameworks i.e., Tensorflow, Scikit Learn, etc.
+ Experience with Agile framework and scrum/Kanban based project management.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
View Now
3
Product Manager, Machine Learning
43201 Columbus, Ohio
Meta
Posted 17 days ago
Job Viewed
Job Description
**Summary:**
In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Plan, initiate, and manage information technology projects for web-based products and platforms
2. Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products
3. Drive product development with teams of world-class engineers and designers, while maintaining team health
4. Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
5. Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction
6. Define and analyze metrics that inform the success of products. Identify and track key performance metrics
7. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
8. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
9. 5+ years product management or related industry experience
10. Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
11. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
12. Experience product management or product design
13. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
14. Experience delivering technical presentations
15. Experience analyzing complex, large-scale data sets and making decisions based on data
16. Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
17. Technical experience with analytical tools, methodologies, and design
18. Displaying leadership, organizational and execution skills
19. Proven communication skills
**Public Compensation:**
$142,000/year to $201,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Plan, initiate, and manage information technology projects for web-based products and platforms
2. Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products
3. Drive product development with teams of world-class engineers and designers, while maintaining team health
4. Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
5. Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction
6. Define and analyze metrics that inform the success of products. Identify and track key performance metrics
7. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
8. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
9. 5+ years product management or related industry experience
10. Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
11. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
12. Experience product management or product design
13. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
14. Experience delivering technical presentations
15. Experience analyzing complex, large-scale data sets and making decisions based on data
16. Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
17. Technical experience with analytical tools, methodologies, and design
18. Displaying leadership, organizational and execution skills
19. Proven communication skills
**Public Compensation:**
$142,000/year to $201,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
4
Product Manager, Machine Learning
43201 Columbus, Ohio
Meta
Posted 17 days ago
Job Viewed
Job Description
**Summary:**
In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Plan, initiate, and manage information technology projects for web-based products and platforms
2. Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products
3. Drive product development with teams of world-class engineers and designers, while maintaining team health
4. Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
5. Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction
6. Define and analyze metrics that inform the success of products. Identify and track key performance metrics
7. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
8. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
9. 5+ years product management or related industry experience
10. Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
11. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
12. Experience product management or product design
13. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
14. Experience delivering technical presentations
15. Experience analyzing complex, large-scale data sets and making decisions based on data
16. Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
17. Technical experience with analytical tools, methodologies, and design
18. Displaying leadership, organizational and execution skills
19. Proven communication skills
**Public Compensation:**
$142,000/year to $201,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Plan, initiate, and manage information technology projects for web-based products and platforms
2. Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products
3. Drive product development with teams of world-class engineers and designers, while maintaining team health
4. Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
5. Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction
6. Define and analyze metrics that inform the success of products. Identify and track key performance metrics
7. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
8. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
9. 5+ years product management or related industry experience
10. Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
11. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
12. Experience product management or product design
13. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
14. Experience delivering technical presentations
15. Experience analyzing complex, large-scale data sets and making decisions based on data
16. Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
17. Technical experience with analytical tools, methodologies, and design
18. Displaying leadership, organizational and execution skills
19. Proven communication skills
**Public Compensation:**
$142,000/year to $201,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
5
Software Engineer, Machine Learning
43201 Columbus, Ohio
Meta
Posted 25 days ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).
10. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation
12. Requires 12 months of experience involving the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and,
26. 15. Distributed systems
**Public Compensation:**
$196,602/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).
10. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation
12. Requires 12 months of experience involving the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and,
26. 15. Distributed systems
**Public Compensation:**
$196,602/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
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6
Software Engineer (Machine Learning)
43201 Columbus, Ohio
Meta
Posted 25 days ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Machine Learning) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's Degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, or a related field and 24 months of experience in the job offered or in a related occupation
11. Requires 24 months of experience involving the following:
12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
26. 15. Distributed systems
**Public Compensation:**
$286,028/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Machine Learning) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's Degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, or a related field and 24 months of experience in the job offered or in a related occupation
11. Requires 24 months of experience involving the following:
12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
26. 15. Distributed systems
**Public Compensation:**
$286,028/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
7
Software Engineer, Machine Learning
43201 Columbus, Ohio
Meta
Posted 25 days ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).
10. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation
12. Requires 12 months of experience involving the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and,
26. 15. Distributed systems
**Public Compensation:**
$196,602/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).
10. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation
12. Requires 12 months of experience involving the following skills:
13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and,
26. 15. Distributed systems
**Public Compensation:**
$196,602/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
8
Software Engineer (Machine Learning)
43201 Columbus, Ohio
Meta
Posted 25 days ago
Job Viewed
Job Description
**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Machine Learning) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's Degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, or a related field and 24 months of experience in the job offered or in a related occupation
11. Requires 24 months of experience involving the following:
12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
26. 15. Distributed systems
**Public Compensation:**
$286,028/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Machine Learning) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's Degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, or a related field and 24 months of experience in the job offered or in a related occupation
11. Requires 24 months of experience involving the following:
12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
16. 5. Developing and debugging in C/C++ and Java
17. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
26. 15. Distributed systems
**Public Compensation:**
$286,028/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
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