521 Machine Learning jobs in Washington

Seattle, Washington, United States Software and Services

Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems.

This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation. We are looking for an outstanding, hands‑on manager who will thrive in a fast‑paced environment. We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases, and this is also where the most critical breakthroughs come from.

• Lead R&D in automated AI evaluation, including development of LLM‑based assessment systems that can reliably evaluate model outputs.
• Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment.
• Build and scale evaluation infrastructure that combines human expertise with ML‑powered automation.
• Work with cross‑functional partners to integrate evaluation systems into production workflows.

• Master’s degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience
• 2+ years leading technical teams in ML/AI
• Strong technical leadership and communication skills

• Expertise in full‑stack LLM development and deployment
• Deep experience with LLM evaluation and automated assessments
• Track record scaling ML systems in production
• Strong product intuition and ability to identify high‑impact opportunities
• Excellence in building and leading high‑performing technical teams

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting‑edge AI‑driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking a Machine Learning Engineer for our AI team to develop products for our clients and the greenhouse industry.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self‑learning applications.

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine‑tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

• 3-5 years of proven experience as a Machine Learning Engineer or a similar role
• Strong experience with Deep Learning
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit‑learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem‑solving skills
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus

• Comprehensive benefits, including healthcare and generous paid leave
• Opportunities for career growth within a fast‑growing and innovative company
• Competitive Paid Time Off (PTO) policy

At IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting‑edge AI‑driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking a Machine Learning Engineer for our AI team to develop products for our clients and the greenhouse industry.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self‑learning applications.

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine‑tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

• 3-5 years of proven experience as a Machine Learning Engineer or a similar role
• Strong experience with Deep Learning
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit‑learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem‑solving skills
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus

• Comprehensive benefits, including healthcare and generous paid leave
• Opportunities for career growth within a fast‑growing and innovative company
• Competitive Paid Time Off (PTO) policy

Join to apply for the Machine Learning Engineer role at Burtch Works in Seattle, WA (onsite 4 days a week).

Burtch Works is a leading entertainment company committed to building world‑class digital experiences across all platforms. Our organization is dedicated to innovation, collaboration, and delivering exceptional user experiences that connect audiences with the content they love. We foster a culture of curiosity, excellence, and strategic thinking where talented professionals can thrive and make a meaningful impact.

We are looking for a Machine Learning Engineer to join our team in Seattle. The ideal candidate will be a collaborative technical professional with strong expertise in data engineering and machine learning model development. This role will involve partnering with data scientists and engineers to build and deploy large‑scale feature sets and machine learning models in production environments.

• Feature Engineering and Optimization: Acquire new data and conform it to usable model features. Develop and maintain pipelines using orchestration and data management tools. Develop and deploy scalable streaming and batch data pipelines to support petabyte‑scale datasets for feature development.
• Model Development, Deployment, and Optimization: Work together with data scientists and engineers to build and deploy machine learning models in large‑scale production environments. Ensure models are optimized for performance and scalability.
• Best Practices and Standards: Maintain existing and establish new development, testing, and deployment standards. Ensure code quality, documentation, and adherence to engineering best practices across the ML lifecycle.
• Collaboration and Innovation: Identify and define opportunities for data collection, feature development, model development, testing, monitoring, and experimentation. Partner cross‑functionally to drive continuous improvement.
• Data Governance: Work with data subject to privacy, governance, and legal policies, ensuring compliance and security throughout all data operations.

• Education: Bachelor's degree in Computer Science, Mathematics, or related fields.
• Experience: 5+ years of relevant experience in data engineering and machine learning.
• Skills:
  • Expertise in Python and SQL.
  • Proficiency with Spark, Snowflake, and dbt.
  • Strong experience with data engineering technology and best practices.
  • Experience building, training, and deploying machine learning models.
  • Experience working in AWS environments.
• Other: Experience working with data subject to privacy, governance, and legal policies.

• Proficiency in Databricks and Snowflake in AWS environments.
• Experience working with machine learning frameworks such as SparkML, scikit-learn, PyTorch, and Keras.
• Experience with Github, Airflow, Scala, and Java.
• Proficiency in DevOps and CI/CD practices.
• Experience with multiple model deployment tools.
• Experience with MLflow or other ML tracking tools.
• Experience working with Agile teams.
• Experience with data science focused feature stores.
• Strong data analysis and visualization skills.
• Experience applying mathematical and statistical methods to data.

Mid‑Senior level

Temporary

Engineering and Information Technology

IT Services and IT Consulting

Our client, an AI-driven company, is hiring a Machine Learning Engineer to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will be instrumental in building and scaling the infrastructure behind the company’s open AI platform, leveraging strong platform engineering skills and a solid machine learning background to support everything from training workflows to production deployment.

• Develop and sustain reliable systems for training, deploying and scaling AI models.
• Build and enhance workflows for data preparation, model training, evaluation and deployment.
• Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
• Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
• Collaborate closely with researchers and developers, both within the company and across our open-source community.
• Contribute to the development and direction of their open-source platform and foundational AI models.

• Extensive experience in infrastructure engineering, DevOps or cloud-native environments.
• Deep understanding of machine learning principles and practical experience with end-to-end ML workflows.
• Proficient in Python and skilled in best practices for software development.
• Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure.
• Experience with distributed computing and designing scalable systems.
• Enthusiasm for open-source development and active participation in community-driven projects.

• Salary: $100K - $220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.

Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.

• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi
• Requires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.
• Develop data pipelines to integrate different data sources
• Experienced in using Google, Amazon NLP APIs to parse data and analyse output
• Experienced in using Amazon dockers to develop and deploy the solution
• Proficient in JAVA & Python programming
• Understanding of topic modelling, supervised & unsupervised machine learning
• Plan the project milestones, resourcing and work distribution
• Execute project in a timely manager, analyse risks and mitigate them
• Able to lead a technical team of data scientist and engineers
• Communicate the project progress, challenges, results and next action items to stake holders

• 3-8 years of experience
• Bachelor’s/Master’s Degree in Engineering, Statistics, Mathematics
• Excellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS

All your information will be kept confidential according to EEO guidelines.

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

A fixed annual salary of $100,000 - $170,000, an employee equity plan grant, and world-class benefits.

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

Join Rokt as a Machine Learning Engineer and become a driving force in building AI-powered products that shape the future of ecommerce. In this high-impact role, you’ll leverage cutting-edge AI tools and a builder’s mindset to develop scalable solutions used by millions of customers worldwide. If you’re excited by the challenge of turning bold ideas into reality and pushing the boundaries of what’s possible with AI, this opportunity is for you.

• Building and Deploying ML Models: Collaborate and support the design, training, and deployment of machine learning models that contribute to personalization, targeting, and recommendation systems across the Rokt platform.
• ML System Development: Work with senior engineers to move models from prototype to production by helping with feature engineering, training experiments, and setting up model serving and monitoring.
• Focus on Quality and Efficiency: Write clean, efficient, and reliable code to ensure ML pipelines and components run smoothly and scale effectively within our production systems.
• Collaborate and Learn Across Teams: Partner with data scientists, product managers, and software engineers to understand requirements and translate them into practical model implementations and experiments.
• Grow with the ML Infrastructure: Learn and contribute to improving our ML tools, workflows, and processes—helping to make model development more consistent, automated, and reproducible.

• AI-Enthusiast & Quick Learner: You embrace new technologies (like AI/ML frameworks) and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve.
• Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you’re excited to solve.
• Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren’t afraid to navigate ambiguity—figuring things out independently when needed.
• Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed.
• Driven & Results-Oriented: You set high standards for your work, take pride in delivering quality, and continually seek to improve. You care about the impact of your code on the business and customers.

• Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that’s pioneering how brands engage customers in the “moment that matters” during online transactions.
• Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly.
• Culture of Builders: Work with a smart, humble, and bold team that shares a “builder” DNA – we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment.
• Ownership & Impact: Every Rokt’star (employee) has a voice and real equity in the company. You’ll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users.
• World-Class Benefits & Support: Join a people-first culture with transparent career paths, continuous development, and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work.

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
• Extra leave (bonus annual leave, sabbatical leave etc.)
• Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!
• Dog-friendly office
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week).

We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

A fixed annual salary of $100,000 - $170,000, an employee equity plan grant, and world-class benefits.

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

Join Rokt as a Machine Learning Engineer and become a driving force in building AI-powered products that shape the future of ecommerce. In this high-impact role, you’ll leverage cutting-edge AI tools and a builder’s mindset to develop scalable solutions used by millions of customers worldwide. If you’re excited by the challenge of turning bold ideas into reality and pushing the boundaries of what’s possible with AI, this opportunity is for you.

• Building and Deploying ML Models: Collaborate and support the design, training, and deployment of machine learning models that contribute to personalization, targeting, and recommendation systems across the Rokt platform.
• ML System Development: Work with senior engineers to move models from prototype to production by helping with feature engineering, training experiments, and setting up model serving and monitoring.
• Focus on Quality and Efficiency: Write clean, efficient, and reliable code to ensure ML pipelines and components run smoothly and scale effectively within our production systems.
• Collaborate and Learn Across Teams: Partner with data scientists, product managers, and software engineers to understand requirements and translate them into practical model implementations and experiments.
• Grow with the ML Infrastructure: Learn and contribute to improving our ML tools, workflows, and processes—helping to make model development more consistent, automated, and reproducible.

• AI-Enthusiast & Quick Learner: You embrace new technologies (like AI/ML frameworks) and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve.
• Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you’re excited to solve.
• Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren’t afraid to navigate ambiguity—figuring things out independently when needed.
• Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed.
• Driven & Results-Oriented: You set high standards for your work, take pride in delivering quality, and continually seek to improve. You care about the impact of your code on the business and customers.

• Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that’s pioneering how brands engage customers in the “moment that matters” during online transactions.
• Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly.
• Culture of Builders: Work with a smart, humble, and bold team that shares a “builder” DNA – we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment.
• Ownership & Impact: Every Rokt’star (employee) has a voice and real equity in the company. You’ll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users.
• World-Class Benefits & Support: Join a people-first culture with transparent career paths, continuous development, and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work.

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
• Extra leave (bonus annual leave, sabbatical leave etc.)
• Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!
• Dog-friendly office
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week).

We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

At IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting‑edge AI‑driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking a Machine Learning Engineer for our AI team to develop products for our clients and the greenhouse industry.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self‑learning applications.

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine‑tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

• 3-5 years of proven experience as a Machine Learning Engineer or a similar role
• Strong experience with Deep Learning
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit‑learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem‑solving skills
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus

• Comprehensive benefits, including healthcare and generous paid leave
• Opportunities for career growth within a fast‑growing and innovative company
• Competitive Paid Time Off (PTO) policy