509 ai ml engineer jobs at 170 companies in Washington
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Principal AI/ML Engineer
Seattle, Washington, United States
$267k-$350k/yrOnsiteFull Time
lululemonNASDAQ: LULU: Innovative performance apparel for athletic pursuits.
11+ YOE11+ years AI/ML engineering experience, expert coding, enterprise-scale ML systems and platform design, experience with model lifecycle and responsible AI, Bachelor's (preferred Master's).
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global professional services delivering 360° value.
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
United States or White Plains or New York City or Seattle or Dallas
$20/hrHybridFull Time
iSoftStoneShenzhen Stock Exchange: 301236: Global IT services and consulting delivering software, AI, testing, and digital solutions to business clients.
0+ YOEEarly-career AI/ML role for recent graduates or those with up to 2 years' experience; requires Python, familiarity with cloud AI services (AWS/Azure/NVIDIA) and frameworks like LangChain and Pydantic.
Blue Origin: Developing reusable space vehicles and infrastructure.
10+ YOEBS in a technical field, 10+ years developing autonomy for safety-critical embedded systems, 5+ years deploying AI/ML in production embedded environments, proficiency in Python and C/C++, experience with edge GPUs/FPGAs/DSPs and model optimization, ability to obtain DoD clearance, strong technical communication.
Arizona or Georgia or Idaho or Illinois or Florida or Massachusetts or Maine or Michigan or Missouri or North Carolina or New York or Pennsylvania or Tennessee or Texas or Oregon or Virginia or Washington or Durham
RemoteFull Time
Sennos: Private fermentation-intelligence providing sensing hardware, AI analytics, and automation to brewers and bio-manufacturers.
Bachelor’s degree in a quantitative field, significant hands-on ML experience, advanced machine learning and applied statistics expertise, strong Python skills, and experience productionizing, monitoring, and evaluating models.
Chicago or New York City or San Francisco or Seattle
$172k-$238k/yrHybridFull Time
ChimeNasdaq: CHYM: A U.S. financial technology offering low-cost banking, payments, lending, and investing products to everyday Americans.
Deep expertise in sequential and deep learning, end-to-end ML lifecycle, experience with large-scale financial/behavioral data, MLOps, and tools like AWS, SageMaker, Kafka, Airflow, Redis, Snowflake, Spark; strong Python and SQL skills.
Maine or Boston or Chicago or Dallas or San Francisco or Seattle
$35-$43/hrRemoteInternship, Full Time
WEXNYSE: WEX: Public fintech and payments helping businesses manage fleet fuel, employee benefits, and corporate payments.
Currently enrolled in a PhD in computer science, AI, ML, statistics, or related quantitative field; research experience in AI/ML; programming in Python, Java, C#, or GoLang; knowledge of ML, LLMs, probability, and statistics.
EWOR: Entrepreneurship fellowship and incubator for outlier founders.
Proven AI domain expertise, high-agency builder mindset, end-to-end ownership, and excellent written and verbal English communication. Candidates must be based in Europe or the Americas or open to relocation or remote arrangements.
Expedia GroupNASDAQ: EXPE: Global travel technology powering online booking platforms.
8+ YOEBachelor’s degree or equivalent experience, 8+ years of relevant experience, advanced SQL and data modeling, production data pipeline expertise, Python proficiency, and experience supporting AI/ML systems.
SQL, Python, dbt, BigQuery, Snowflake, Looker, Metabase, Claude
AdobeNASDAQ: ADBE: Empowering everyone to create through innovative digital experiences.
5+ YOE5+ years in software engineering, backend infrastructure, data systems, or ML infrastructure; distributed systems and scalable design expertise; imaging model experience; API, pipeline, cloud, and production engineering experience; programming proficiency.
Docker: Privately held container application platform helping developers build, share, and run applications.
5+ YOE5+ years applied ML/AI experience, 4+ years software engineering, experience with LLM-based systems, model lifecycle and ML infrastructure, bachelor's in CS/Engineering or equivalent, strong communication and mentoring skills.
Seattle or Nashville or Santa Clara or Austin or United States
OnsiteFull Time
Oracle CorporationNYSE: ORCL: Cloud infrastructure and enterprise software solutions provider.
12+ YOESenior technical leader with 12+ years building and operating high-scale distributed systems and AI/ML platforms; strong Python, Kubernetes, Docker, LLM orchestration, and AI safety experience; BS/MS/PhD or equivalent.
Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Technical leadership in GenAI and agentic systems for large-scale cloud infrastructure; production experience with LLMs, RAG, automation and orchestration frameworks; cross-team collaboration with data and infrastructure teams.
Sunnyvale or Washington or Austin or Mountain View or Warren
$171k-$261k/yrHybridFull Time
General MotorsNYSE: GM: Designing, building, and selling the world's best vehicles.
3+ YOE3+ years building and operating production cloud systems; experience with scalable services, Go or Python, Unix/Linux, networking, and mentoring; BS in CS or equivalent.
GEICO: A leading provider of auto and property insurance.
8+ YOE8+ years building production AI/ML applications, 5+ years owning end-to-end generative AI systems, experience with LLMs, agentic workflows, CI/CD and cloud deployments; bachelor’s in CS or related field.
AI/ML Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team
Seattle, Washington, United States
$144k-$194k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
3+ YOE3+ years professional software development, bachelor's degree or equivalent, 2+ years deploying ML models, Python and ML framework proficiency, LLM APIs, cloud ML services, data pipelines, testing, and production operations.
GE HealthCareNasdaq: GEHC: Global medical technology and digital solutions innovator.
3+ YOEDesign, build, and deploy production-grade AI solutions using LLMs and foundation models; strong ML, software engineering, and AI infrastructure experience required.
WiproNYSE: WIT: Global information technology, consulting, and business process services.
8+ YOE8+ years experience in enterprise platform engineering with Python and AI/ML ops; designing AI testing frameworks, performance testing, and CI/CD-integrated LLM evaluation pipelines.
Design and build ML DevOps infrastructure, implement CI/CD and containerization, collaborate with engineers and data scientists, and ensure secure repository and deployment practices.
Advanced AI Systems Engineer / AI Technical Lead (GR 32)
Mount Vernon, Washington, United States
$119k-$186k/yrOnsiteFull Time
PACCARNASDAQ: PCAR: Global technology leader in commercial vehicle design and manufacturing.
10+ YOEBachelor's degree in a STEM discipline and 10+ years of related engineering experience. Requires AI/ML development, programming, data analysis, system integration, technical leadership, and cross-functional coordination.
Artificial Intelligence (AI), machine learning, large language models (LLMs), model context protocol (MCP), robotic process automation (RPA), V-cycle, FSA, HSA