460 Lead Data Scientists jobs in Seattle

Our client is a leading innovator in its field, seeking a talented and experienced Senior Data Scientist with a strong background in Machine Learning to join our growing analytics team. This role is based in our dynamic Seattle, Washington, US office, offering a hybrid work arrangement. You will play a crucial role in developing and deploying advanced machine learning models to solve complex business problems, drive product innovation, and uncover actionable insights from large, diverse datasets. Your responsibilities will include defining project scope, performing exploratory data analysis, feature engineering, model selection, training, evaluation, and deployment. You will collaborate closely with product managers, software engineers, and business stakeholders to understand their needs and translate them into data-driven solutions. A deep understanding of statistical modeling, various machine learning algorithms (supervised and unsupervised), deep learning frameworks, and data mining techniques is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. We are looking for an individual who can not only build robust models but also communicate complex findings clearly to both technical and non-technical audiences. This hybrid role emphasizes collaboration and requires a proactive approach to problem-solving and continuous learning in the rapidly evolving field of data science.

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms.
• Perform exploratory data analysis and feature engineering on large datasets.
• Evaluate and optimize model performance using rigorous statistical methods.
• Deploy machine learning models into production environments.
• Collaborate with cross-functional teams to define business problems and translate them into data science solutions.
• Communicate complex findings and insights to technical and non-technical stakeholders.
• Stay current with the latest advancements in machine learning, AI, and data science.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Develop and maintain robust data pipelines and workflows.
• Conduct A/B testing and other experiments to validate model effectiveness.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science and machine learning.
• Proven expertise in developing and deploying machine learning models for various applications (e.g., prediction, classification, recommendation systems, NLP).
• Proficiency in programming languages such as Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and their data science services.
• Strong understanding of statistical concepts, experimental design, and data mining.
• Excellent problem-solving, analytical, and critical thinking skills.
• Effective communication and presentation skills.

Our client is a forward-thinking technology company seeking a highly skilled and motivated Remote Data Scientist specializing in Machine Learning. This is a fully remote position, offering the flexibility to work from anywhere within the US. You will be at the forefront of developing and deploying cutting-edge machine learning models to solve complex business challenges and drive innovation across our product suite. Your expertise will be instrumental in transforming raw data into actionable insights, enhancing user experiences, and optimizing operational efficiency.

As a Remote Data Scientist, your responsibilities will include:

• Designing, developing, and implementing sophisticated machine learning algorithms and statistical models to address business needs, such as predictive analytics, recommendation systems, natural language processing, and computer vision.
• Performing extensive data exploration, cleaning, and feature engineering on large, complex datasets from various sources.
• Collaborating closely with product managers, engineers, and other data scientists to define project scope, establish key performance indicators (KPIs), and deliver impactful solutions.
• Conducting rigorous model evaluation, validation, and A/B testing to ensure accuracy, reliability, and scalability.
• Translating complex analytical findings and model results into clear, concise, and actionable recommendations for technical and non-technical stakeholders through compelling visualizations and presentations.
• Staying abreast of the latest advancements in machine learning, deep learning, and artificial intelligence, and exploring their potential applications within the company.
• Contributing to the development and maintenance of our data science infrastructure, tools, and best practices.
• Mentoring junior data scientists and fostering a collaborative learning environment.
• Proactively identifying opportunities to leverage data science to improve business outcomes.

The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong foundation in statistical modeling, machine learning techniques, and data mining. Proven experience in deploying machine learning models into production environments is essential. Proficiency in programming languages such as Python or R, along with extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy), is required. Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable. Exceptional analytical, problem-solving, and communication skills are paramount for success in this remote role. You must be a self-starter, capable of managing your time effectively and working independently with minimal supervision.

Are you excited by the challenge of building intelligent, autonomous systems that deliver real-world impact? The Commerce Risk Analytics team at Microsoft is looking for a machine learning engineer to design, develop, and continuously improve a multi-agent AI Risk system that enables autonomous risk transaction review and decision-making. You'll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration-building solutions that power scenarios from fraud prevention to customer support automation.
We're hiring across several focus areas, and your role will align with your expertise and interests:
+ **Autonomous Agent Development** **for Risk Decision** - building LLM-based decision-making agents and advancing a multi-agent risk system
+ **AI Integration & MLOps** - enabling scalable infrastructure, data pipelines, and operational excellence
+ **Quality & Integration** - focusing on agent behavior testing, UI/UX integration, and platform reliability
**Responsibilities**
As a machine learning engineer, you will:
+ Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.
+ Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
+ Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
+ Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
+ Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
+ Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
+ Apply best practices in security, compliance, and privacy to all aspects of agent development
+ Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
+ OR equivalent experience.
+ 3+ years of experience in software engineering, data science, or machine learning
+ 2+ years experience with LLMs, prompt engineering, and the OpenAI API
+ 2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines
**Preferred Qualifications:**
+ Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
+ Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
+ Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
+ Experience debugging skills and a solid understanding of security and data protection principles
+ Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
+ Proficiency in Python for development and scripting
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $99,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 131,400 - 215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications for the role until October 13th, 2025
**Other Requirements**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.
When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that's work worth doing.
**Machine Learning Engineer**
**Why We Have This Role**
We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.
You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!
**How You'll Find Success**
+ Work in a supportive environment enables individual growth and achievement of team goals
+ Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
+ Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
+ Implement new features and optimize existing ones to delight our customers
**How You'll Grow**
+ Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
+ Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
**Things You'll Do**
+ Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
+ Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
+ Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
+ Finding quick ways to prototype and test possible solutions to large problems
**What We're Looking For On Your Resume**
+ Bachelor's degree in Computer Science or related fields.
+ Interest in modern machine learning / deep learning systems
+ Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
+ Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design
+ Experience with applied machine learning models and large-scale ML systems
**What You Should Know About This Team**
+ The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.
+ This team builds core machine learning infrastructure and services.
+ We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.
**Our Team's Favorite Perks and Benefits**
+ $1800 Experience bonus to be used for an "Experience" of your choosing
+ Unlimited Sick Days
+ Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy.
**The Qualtrics Hybrid Work Model:** Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.
_Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic._
_Applicants in the United States of America have rights under Federal Employment Laws:_ Family & Medical Leave Act ( _,_ Equal Opportunity Employment ( _,_ Employee Polygraph Protection Act ( is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know._
_Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit._
_For full-time positions_ , this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits ( .
Washington State Annual Pay Transparency Range
$9,500- 187,000 USD

Our client is excited to offer a fully remote Junior Data Scientist internship, providing a unique opportunity for aspiring data scientists to gain hands-on experience in machine learning applications. This position is ideal for individuals passionate about leveraging data to solve complex problems and develop innovative solutions. You will work closely with our experienced data science team, contributing to various stages of the machine learning lifecycle, from data preprocessing and feature engineering to model development, training, and evaluation. Your responsibilities will include exploring large datasets, identifying patterns, and assisting in the implementation of predictive models. You will gain exposure to cutting-edge tools and techniques in data mining, statistical analysis, and machine learning algorithms. The ideal candidate will have a strong foundation in mathematics, statistics, and computer science, with proficiency in programming languages such as Python or R. Familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and data manipulation tools (e.g., Pandas, SQL) is highly desirable. Excellent analytical and problem-solving skills are essential, along with a keen eye for detail and a desire to learn. This remote-first internship requires strong communication skills, the ability to work independently, and a proactive attitude towards tackling new challenges. You will collaborate virtually with team members, participate in code reviews, and contribute to project documentation. This internship offers a fantastic learning environment to develop practical skills in a fast-paced, innovative setting, contributing to real-world projects within Seattle, Washington, US , while gaining invaluable industry experience from your home office. We encourage applications from motivated students and recent graduates eager to launch their careers in data science.

Our client is looking for ambitious and talented Graduate Data Scientists to join their innovative, fully remote program. This internship offers a unique opportunity to immerse yourself in cutting-edge machine learning projects, contributing to real-world applications that drive business insights. You will work alongside seasoned data scientists and engineers, gaining invaluable hands-on experience in data manipulation, model development, and performance evaluation. Key responsibilities include assisting in the collection, cleaning, and preprocessing of large datasets, implementing and testing various machine learning algorithms (e.g., regression, classification, clustering, deep learning), and contributing to the interpretation and visualization of results. You will also participate in code reviews, documentation, and the presentation of findings to stakeholders. A strong foundation in statistical modeling, probability, and linear algebra is essential. Proficiency in programming languages such as Python or R, along with experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch, is a prerequisite. This role demands excellent problem-solving abilities, a keen analytical mind, and a passion for continuous learning in the rapidly evolving field of AI. As a fully remote intern, you must be self-disciplined, organized, and possess exceptional communication skills to effectively collaborate within a virtual team environment. We are seeking individuals who are currently pursuing or have recently completed a bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. A demonstrable portfolio of personal projects or academic research in data science or machine learning will be highly advantageous. This is an exciting chance to launch your career in data science with a forward-thinking company, working from anywhere in the US. The collaborative hub for this role's associated team is notionally based in Seattle, Washington, US .

Our client, a disruptive force in the technology sector, is seeking a highly skilled and innovative Advanced Data Scientist with a specialization in Machine Learning to join their cutting-edge research and development team. This role is ideal for a candidate passionate about leveraging advanced ML techniques to solve complex business problems and drive product innovation. The position is fully remote, offering flexibility and the opportunity to work with a globally distributed team of top-tier professionals.

Responsibilities:

• Design, develop, and implement sophisticated machine learning models for a wide range of applications, including but not limited to natural language processing, computer vision, recommendation systems, and predictive analytics.
• Conduct in-depth data analysis, feature engineering, and model validation to ensure accuracy and performance.
• Collaborate with cross-functional teams, including product managers, engineers, and business analysts, to understand requirements and translate them into data-driven solutions.
• Stay at the forefront of ML research and techniques, exploring and applying novel algorithms and methodologies.
• Develop and maintain robust data pipelines and infrastructure for training and deploying ML models.
• Optimize model performance for scalability, efficiency, and real-time application.
• Communicate complex technical findings and insights clearly and effectively to both technical and non-technical audiences.
• Contribute to the development of best practices and standards for machine learning development within the organization.
• Mentor junior data scientists and share knowledge across the team.
• Evaluate and integrate new tools and technologies to enhance the ML development workflow.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of experience in advanced data science and machine learning, with a strong portfolio of deployed ML models.
• Expertise in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Deep understanding of statistical modeling, algorithm development, and data mining techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps principles is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, team-oriented environment.
• Published research in top-tier ML conferences or journals is a significant plus.
• Passion for innovation and a drive to solve challenging real-world problems using data.

This is an exceptional opportunity for a motivated Data Scientist to contribute to groundbreaking projects in a fully remote capacity.

**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 classification 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).
**Minimum Qualifications:**
Minimum Qualifications:
9. Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics or related field and 2 years of experience in the job offered or in a computer-related occupation
10. Experience must include 2 years in the following:
11. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
12. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
13. 3. Translating insights into business recommendations
14. 4. Scripting languages such as Perl, Python, PHP, Haskell, or shell scripts
15. 5. Relational databases and SQL
16. 6. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
17. 7. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
18. 8. Build highly-scalable performant solutions
19. 9. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
20. 10. 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:**
$176,793/year to $200,200/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

**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 classification and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
4. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
5. 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.
6. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
7. Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
8. Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of experience in the job offered or in a computer-related occupation
9. Experience must include 2 years of experience in the following:
10. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
11. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
12. 3. Translating insights into business recommendations
13. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
14. 5. Developing and debugging in C/C++ and Java
15. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
16. 7. C, C++, C#, or Java
17. 8. Python, PHP, or Haskell
18. 9. Relational databases and SQL
19. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
21. 12. Build highly-scalable performant solutions
22. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
23. 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
24. 15. Distributed systems
**Public Compensation:**
$219,579/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