5,895 Machine Learning Engineering jobs in the United States

**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!
Manager MLE, Search and Personalization Team:
About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers
audiences the world's most differentiated and complete portfolio of content, brands and
franchises across television, film, streaming and gaming. The new company combines
Warner Media's premium entertainment, sports and news assets with Discovery's
leading non-fiction and international entertainment and sports businesses.
For more information, please visit & Responsibilities:
We are looking for a passionate Manager Machine Learning engineer to support, build
and scale the personalization and search platforms for the global streaming app Max as
well as ongoing and future streaming initiatives. You are excited about working in a fast-
moving environment that fosters engineering and operational excellence with
continuous development, deployment, experimentation, quality assurance, and
collaboration. You will bring an obsession with our customers along with skills for rapid
feature iteration. In your role, you will be working in a team of passionate machine
engineers and applied researchers contributing to a system that serves 100+ million
users worldwide.
Architect and develop robust engineering solutions that utilize
machine learning models and algorithms to support
personalization's.
Manage project priorities and ensure timely delivery.
Build and lead a world-class team of machine learning and full stack
engineers.
Be a hands-on leader and mentor the team in the latest machine
learning technologies and processes.
Partner closely with business and data science leadership for
opportunity sizing and prioritizing product capabilities.
Partner closely with platform and infra teams to build robust fault
tolerant solutions and accelerate the learning cycle.
Partner closely with downstream application teams to develop a
flexible and resilient interface between ML products and downstream
applications.
Partner closely with the ML Platform team to build flexible and
resilient interfaces for training, serving and feature needs for
personalization products.
Develop ML Systems roadmap in partnership with Data Science
teams, and educate both internal and external stakeholders at all
levels to drive resourcing and implementation.
Develop and evangelize engineering best practices for scoping,
building, validating, deploying, and monitoring ML/AI products.
Qualifications & Experience.
Technical education in Computer Science, Information Science,
Engineering, or equivalent experience (Masters degree or higher
preferred).
8+ years of work experience in developing engineering solutions for
Machine Learning and Data Science applications with a proven track
record to drive innovation and business impacts.
2+ years leading and growing high performance engineering teams.
Familiarity with the practical aspects of machine learning is required.
Familiarity with the practical aspects of machine learning is required.
Proficient in both Python and OOP languages including GoLang,
Java or C++.
Experience with Agile methodologies preferred.
Experience in deploying complex and large scale machine learning
algorithms and advanced modeling solutions.
Self-starter and self-motivated with the proven ability to deliver
results in a fast-paced, high-energy environment.
Strong communication skills and the ability to explain complex
engineering systems to non-technical audience.
Works effectively with cross functional teams to build trusted
partnership.
Experience with recommender/search/ad serving algorithms and
systems is a plus.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $145,600.00 - $270,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!
Manager MLE, Search and Personalization Team:
About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers
audiences the world's most differentiated and complete portfolio of content, brands and
franchises across television, film, streaming and gaming. The new company combines
Warner Media's premium entertainment, sports and news assets with Discovery's
leading non-fiction and international entertainment and sports businesses.
For more information, please visit & Responsibilities:
We are looking for a passionate Manager Machine Learning engineer to support, build
and scale the personalization and search platforms for the global streaming app Max as
well as ongoing and future streaming initiatives. You are excited about working in a fast-
moving environment that fosters engineering and operational excellence with
continuous development, deployment, experimentation, quality assurance, and
collaboration. You will bring an obsession with our customers along with skills for rapid
feature iteration. In your role, you will be working in a team of passionate machine
engineers and applied researchers contributing to a system that serves 100+ million
users worldwide.
Architect and develop robust engineering solutions that utilize
machine learning models and algorithms to support
personalization's.
Manage project priorities and ensure timely delivery.
Build and lead a world-class team of machine learning and full stack
engineers.
Be a hands-on leader and mentor the team in the latest machine
learning technologies and processes.
Partner closely with business and data science leadership for
opportunity sizing and prioritizing product capabilities.
Partner closely with platform and infra teams to build robust fault
tolerant solutions and accelerate the learning cycle.
Partner closely with downstream application teams to develop a
flexible and resilient interface between ML products and downstream
applications.
Partner closely with the ML Platform team to build flexible and
resilient interfaces for training, serving and feature needs for
personalization products.
Develop ML Systems roadmap in partnership with Data Science
teams, and educate both internal and external stakeholders at all
levels to drive resourcing and implementation.
Develop and evangelize engineering best practices for scoping,
building, validating, deploying, and monitoring ML/AI products.
Qualifications & Experience.
Technical education in Computer Science, Information Science,
Engineering, or equivalent experience (Masters degree or higher
preferred).
8+ years of work experience in developing engineering solutions for
Machine Learning and Data Science applications with a proven track
record to drive innovation and business impacts.
2+ years leading and growing high performance engineering teams.
Familiarity with the practical aspects of machine learning is required.
Familiarity with the practical aspects of machine learning is required.
Proficient in both Python and OOP languages including GoLang,
Java or C++.
Experience with Agile methodologies preferred.
Experience in deploying complex and large scale machine learning
algorithms and advanced modeling solutions.
Self-starter and self-motivated with the proven ability to deliver
results in a fast-paced, high-energy environment.
Strong communication skills and the ability to explain complex
engineering systems to non-technical audience.
Works effectively with cross functional teams to build trusted
partnership.
Experience with recommender/search/ad serving algorithms and
systems is a plus.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $145,600.00 - $270,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**What you get to do in this role:**
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
+ Build the best cloud-based AI/ML solutions to power intelligent enterprise services
+ Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
+ Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
**To be successful in this role you have:**
+ A minimum of 1-2 years of management experience, proficiency in providing feedback to work group strategies, policies and plans
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
+ Deep understanding of Deep Learning concepts and Transformer architecture
+ Understanding of model training/fine-tuning techniques
+ Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
+ Experience building new products that use challenging algorithms
+ Expertise in coding efficient, object-oriented, modularized and quality software
+ Knowledge of core AI/ML techniques and algorithms
+ Knowledge of unit testing, profiling, and code tuning
For positions in this location, we offer a base pay of $173,100 - $303,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**What you get to do in this role:**
The CoreLLM team, part of the Platform and AI organization, is focused on building Small Language Models (SLMs), open-weight models like **Apriel** , and traditional machine learning algorithms and pipelines. Our models and platform power ServiceNow's Pro (ML) and Pro Plus (GenAI) offerings, delivering powerful AI capabilities to our customers.
As a **Senior Director, Model Training and Evaluation** , you will lead the teams responsible for the full lifecycle of our models. This includes everything from the initial training and fine-tuning to rigorous evaluation and deployment. Your leadership will be critical in developing state-of-the-art models that push the boundaries of what our platform can do.
This is a fast-growing, high-impact role where you will:
+ **Lead and scale** a team of talented researchers, applied researchers and machine learning engineers.
+ **Define the strategy and roadmap** for model training and evaluation, ensuring we deliver high-quality, performant, and reliable models.
+ **Drive innovation** in training techniques, including developing new methods for fine-tuning, knowledge distillation, and reinforcement learning.
+ **Establish best practices** for model evaluation, including creating robust benchmarks, metrics, and frameworks to ensure model quality and integrity.
+ **Collaborate with cross-functional teams** across product, engineering, and research to translate business needs into technical requirements and deliver impactful solutions.
+ **Stay ahead of the curve** by researching and implementing the latest advancements in large language models and AI research.
**To be successful in this role you have:**
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
+ **Extensive experience** in leading and managing high-performing machine learning or AI teams, with a focus on model training and evaluation.
+ **Deep technical expertise** in modern machine learning and deep learning, including a strong understanding of LLM architectures, training paradigms (e.g., pre-training, supervised fine-tuning), and evaluation methodologies.
+ **Proven track record** of building and deploying production-level AI models at scale.
+ **Strong leadership and management skills** with the ability to **inspire and grow a world-class team** , with extensive experience managing large organizations of 50 or more engineers and researchers.
+ **Excellent communication and collaboration skills** to work effectively with stakeholders at all levels, from technical teams to senior executives.
+ **Hands-on experience** with major deep learning frameworks like PyTorch or TensorFlow
+ **A Ph.D. or Master's degree** in Computer Science, Machine Learning, or a related field is a plus.
For positions in this location, we offer a base pay of $274,300 - $480,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
Snap Inc. ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .
Snap Engineering ( teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values ( are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We're looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap!
What you'll do:
+ Lead a team of machine learning engineers and software engineers in developing and optimizing our personalized video recommendation engine
+ Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability
+ Drive rapid iteration without compromising quality: work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system
+ Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes: conduct A/B testing and analyze performance metrics to continuously improve the recommender system.
+ Perform design and code reviews to raise technical excellence bar
Knowledge, Skills & Abilities:
+ Deep understanding of machine learning approaches, algorithms and their application to recommender system
+ Experience setting the direction for teams focused on developing online ranking and recommendation models
+ Strong management and mentorship skills, fostering a collaborative and innovative team culture
+ Excellent verbal and written communication skills, with meticulous attention to detail
+ Ability to effectively collaborate with stakeholders at all levels, both internally and externally
+ Proficiency in managing and solving ambiguous problems
Minimum Qualifications:
+ Bachelor's in a related technical field such as computer science or equivalent years of experience
+ 8+ years of post-Bachelor's ML industry experience; or a Master's degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
+ 1+ year(s) of experience leading machine learning teams teams that focus on ranking and/or recommendations
Preferred Qualifications:
+ Experience with real-time recommendation systems.
+ Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
+ Experience working with distributed systems
+ Experience working with machine learning, ranking infrastructures, and system designs
+ Ability to proactively learn new concepts and apply them at work
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC) ( :
The base salary range for this position is $229,000-$43,000 annually.
Zone B ( :
The base salary range for this position is 218,000- 326,000 annually.
Zone C ( :
The base salary range for this position is 195,000- 292,000 annually.
This position is eligible for equity in the form of RSUs.
**A Decade of Snap ( **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap ( **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit ( **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News ( **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (

Our client is a pioneering organization at the forefront of AI and emerging technologies, dedicated to leveraging data to drive innovation and solve complex challenges. We are seeking a highly skilled Senior Data Scientist with a specialization in Machine Learning Engineering to join our advanced analytics team. This role is integral to developing, deploying, and scaling sophisticated machine learning models that power our cutting-edge products and services. You will collaborate with a team of talented data scientists, engineers, and product managers to build robust ML pipelines, optimize model performance, and ensure the successful integration of AI solutions into our business operations. The ideal candidate will possess a strong theoretical understanding of ML algorithms, practical experience in building and deploying models in production environments, and proficiency in relevant programming languages and tools.

Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms for various applications, including prediction, classification, recommendation, and anomaly detection.
• Build and maintain scalable ML pipelines for data ingestion, feature engineering, model training, validation, and deployment.
• Collaborate with software engineers to integrate ML models into production systems and applications.
• Optimize model performance, efficiency, and scalability using MLOps best practices.
• Conduct exploratory data analysis, identify trends, and extract actionable insights from large datasets.
• Evaluate and select appropriate ML algorithms and tools for specific project requirements.
• Stay current with the latest research and advancements in machine learning, artificial intelligence, and data science.
• Develop and implement strategies for model monitoring, retraining, and version control.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's technical expertise.
• Participate in code reviews and ensure the quality and maintainability of ML solutions.
• Contribute to the design and architecture of the company's data science infrastructure.

Qualifications:

• Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of experience in data science and machine learning, with a strong focus on ML engineering and production deployment.
• Proven experience building and deploying ML models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Proficiency in programming languages such as Python (preferred) or R, and experience with SQL.
• Solid understanding of ML algorithms, statistical modeling, and data mining techniques.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD, cloud ML platforms).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Experience with data visualization tools is a plus.

This position is based in **Madison, Wisconsin, US**, requiring on-site presence.

Our client, a cutting-edge IT and software solutions provider, is seeking a highly skilled and visionary Principal Data Scientist with a specialization in Machine Learning Engineering. This is a fully remote opportunity for an individual passionate about leveraging advanced data science techniques to solve complex business challenges and drive innovation. As a Principal Data Scientist, you will lead the design, development, and deployment of sophisticated machine learning models and end-to-end data science solutions. Your responsibilities will include identifying opportunities for leveraging data, defining modeling approaches, architecting scalable ML pipelines, and collaborating closely with software engineers to integrate models into production systems. You will mentor junior data scientists, contribute to the technical strategy, and stay at the forefront of advancements in AI and ML. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, deep learning frameworks, and MLOps principles. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud platforms (AWS, Azure, GCP) are essential. This role requires strong problem-solving skills, excellent communication abilities, and the capacity to translate complex technical concepts into actionable business insights. The position is based in the Madison, Wisconsin, US area, but is offered as a fully remote role, demanding a high degree of self-motivation and disciplined execution. You will play a critical role in shaping our client's data-driven future and delivering impactful solutions. The ability to work autonomously, manage projects effectively, and contribute to a collaborative, research-oriented environment is paramount.

Key Responsibilities:

• Lead the end-to-end development and deployment of machine learning models and data science solutions.
• Architect scalable and robust machine learning pipelines and infrastructure.
• Identify business problems and opportunities that can be addressed with advanced analytics and ML.
• Perform complex data analysis, feature engineering, and model selection.
• Implement and optimize various machine learning algorithms (e.g., supervised, unsupervised, deep learning).
• Utilize MLOps practices for model monitoring, retraining, and deployment.
• Collaborate with software engineering teams to integrate ML models into production applications.
• Mentor and guide junior data scientists and engineers.
• Stay abreast of the latest research and trends in AI, ML, and data science.
• Communicate complex findings and recommendations to technical and non-technical stakeholders.

Qualifications:

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science and machine learning, with a focus on engineering and production deployment.
• Proven expertise in developing and deploying machine learning models in production environments.
• Proficiency in Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Deep understanding of statistical modeling, algorithms, and experimental design.
• Experience with MLOps tools and methodologies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate technical concepts to diverse audiences.
• Experience in a remote-first, collaborative setting is essential.

Our client is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning Engineering to join their growing IT & Software division in **Houston, Texas, US**. This role will be at the forefront of developing and deploying sophisticated machine learning models to solve complex business problems. You will work with large datasets, design and implement ML pipelines, and collaborate with software engineers to integrate models into production systems. The ideal candidate will have a strong theoretical foundation in machine learning and practical experience in applying ML techniques to real-world challenges. This hybrid position offers a collaborative environment with opportunities for both remote work and in-office interaction.

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms to address business needs.
• Clean, preprocess, and analyze large, complex datasets to extract meaningful insights.
• Build and maintain scalable machine learning pipelines for model training, evaluation, and deployment.
• Collaborate with software engineers to integrate ML models into production applications and systems.
• Conduct A/B testing and other experiments to evaluate model performance and business impact.
• Stay current with the latest advancements in machine learning, artificial intelligence, and data science.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders.
• Develop and implement strategies for model monitoring, retraining, and lifecycle management.
• Contribute to the development of data governance and best practices.
• Mentor junior data scientists and engineers, fostering a culture of innovation and knowledge sharing.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 6 years of experience in data science and machine learning, with a focus on ML engineering.
• Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Deep understanding of various machine learning algorithms, including supervised and unsupervised learning, deep learning, and natural language processing (NLP).
• Proven experience in building and deploying ML models into production environments.
• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow).
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a hybrid team setting.

This hybrid role offers a competitive salary, comprehensive benefits, and the chance to work on impactful data science projects in **Houston, Texas, US**. Join a team pushing the boundaries of AI and machine learning.

We are thrilled to introduce you to our team at the Chief Data and Analytics Office (CDAO) organization. As the driving force behind the firm wide adoption of Artificial Intelligence (AI) across our company, our dedicated team is responsible for overseeing data use, governance, and controls around the build, adoption and maintenance of cloud infrastructure, data and AI/ML products. With a focus on both effectiveness and responsibility, we strive to push the boundaries of innovation while ensuring ethical and sustainable practices. Join us on this exciting journey as we revolutionize the way we leverage data and analytics to shape the future of our organization.
As a Generative AI Executive Director within our CDAO organization, you will play a crucial role in ensuring the smooth operation and optimization of our LLM aided AI products. Our firm-wide team focuses on developing scalable LLM-based products and reusable back-end APIs. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). You will ensure that our APIs are built with scalability in mind, allowing them to efficiently handle a large number of requests without compromising performance. By designing APIs with a clear separation of concerns and well-defined interfaces, we enable other teams and developers to leverage our APIs to build their own ML products and solutions, fostering a culture of collaboration and efficiency.
**Job Responsibilities**
+ Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs
+ Bridge scientific research and software engineering, requiring expertise in both domains
+ Collaborate closely with cloud and SRE teams while leading the design and delivery of production architectures
**Required qualifications, capabilities, and skills**
+ PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics.
+ Experience in an individual contributor role in ML engineering.
+ Proven track record in building and leading teams of experienced ML engineers/scientists.
+ Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms.
+ Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.).
+ Ability to understand and align with business expectations, and write clear and concise OKRs (Objectives and Key Results).
+ Experience as a "Responsible Owner" for ML services in enterprise environments.
+ Excellent grasp of computer science fundamentals and SDLC best practices.
+ Ability to understand business objectives and align ML problem definition.
+ Strong communication skills to effectively convey technical information and ideas at all levels, building trust with stakeholders.
**Preferred qualifications, capabilities, and skills**
+ Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray).
+ Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints.
+ Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models.
+ Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
**Base Pay/Salary**
New York,NY $223,250.00 - $325,000.00 / year