303 machine learning engineering jobs at 69 companies in Tacoma, WA
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Manager, Machine Learning Engineering
Bellevue or San Francisco or New York City
$188k-$349k/yrHybridFull Time
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
8+ YOE2+ Mgmt8+ years in ML/software engineering (computer vision/video focus), 2+ years leading engineers, hands-on with PyTorch/TensorFlow, production ML systems, large-scale datasets, distributed systems, generative AI experience, strong system design and communication.
Palo Alto or New York City or Dallas or Bethesda or Seattle
$150k-$300k/yrOnsiteFull Time
GEICO: Provides vehicle and property insurance services to consumers.
10+ YOE10+ years engineering or AI/ML leadership experience; proven track record building scalable distributed systems and personalization platforms; expertise in RAG, context/memory architectures, and real-time inference; strong business acumen and cross-functional leadership.
San Francisco or Palo Alto or Seattle or United States
$139k-$286k/yrRemoteFull Time
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
2+ YOE2+ years applying machine learning; hands-on experience building data pipelines, large-scale ML systems, and big data technologies; bachelor's degree or equivalent experience.
8+ YOE1+ MgmtManage ML engineering team focused on ranking and recommendations. Requires 8+ years post-Bachelor ML experience (or equivalent), 1+ year leading ML teams, Bachelor’s in a technical field or equivalent, experience with ranking/LLM applications, distributed systems, and ML frameworks.
Manager, Machine Learning Engineering, Web Ads Ranking
Palo Alto or San Francisco or Los Angeles or New York City or Bellevue
$229k-$343k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
8+ YOE1+ MgmtLead ML engineering teams on ranking/recommendation systems; 8+ years ML industry experience (alternatives with advanced degrees), 1+ year leading ML teams, bachelor’s in CS or related field (or equivalent), experience with LLMs, distributed systems, and large-scale ML frameworks.
Constellation Space: AI-powered operating system for satellite network management.
BS/MS in CS or Engineering (or equivalent), proven experience deploying ML models to production, strong software engineering in Python and C++, experience with Docker, cloud platforms and MLOps, and optimizing low-latency inference.
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
3+ YOE3+ years building and deploying ML models in production; proficiency in Python, PyTorch/TensorFlow; experience with tree-based models (XGBoost, LightGBM) and feature engineering; strong ML foundations and communication skills.
PitchBook: Financial data and software for private capital markets.
2+ YOEBachelor's in CS/math/data science (required), 2+ years software/ML engineering, strong NLP/LLM experience, proficiency with Python and SQL, experience with ML libraries and cloud/container tooling, authorized to work in the US.
AtlassianNASDAQ: TEAM: Develops software for team collaboration and project management.
5+ YOEMaster's or PhD in a quantitative field,5+ years managing ML engineering teams,experience building and scaling ML models,strong communication,agile mindset and focus on practical impact.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
7+ YOEMS/PhD in CS, Statistics or equivalent experience; 7+ years industry experience; strong software engineering and statistical skills; experience with large-scale e-commerce or computational advertising preferred.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
Senior-level experience shipping and operating production ML systems, strong Python and statistics skills, expertise in ML lifecycle and tooling (MLflow, Airflow, Spark, Delta Lake); experience with streaming/event systems (Kafka), gRPC or Redis a plus; willing to relocate to Miami, Toronto, or Seattle.
Python, MLflow, Airflow, Spark, Delta Lake, Kafka, gRPC, Redis
RemitlyNASDAQ: RELY: Provides digital cross-border money transfer services for global customers.
10+ YOE10+ years delivering ML systems in production; degree in CS/Data Science/Statistics/Mathematics or equivalent; strong programming in Python/Go/Scala; experience with PyTorch, scikit-learn, numpy and cloud platforms (AWS/GCP/Azure); MLOps and LLM/transformer experience preferred; leadership/mentoring.
AxonNASDAQ: AXON: Develops weapons and software for law enforcement and safety.
6+ YOE6+ years software engineering experience, deploy ML models to cloud, proficiency in Python and C++, experience with ML frameworks and Linux, strong system architecture and collaboration skills.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Nashville or Seattle or Santa Clara or Austin or United States
$126k-$264k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOERequires 6–10+ years of experience developing and productionizing machine learning models, automating ML workflows, monitoring model performance, writing code, and integrating models into software systems.
San Francisco or New York or Los Angeles or Seattle
$200k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems,3+ years software engineering,1+ year Python,experience with databases,monitoring,cloud services and production ML deployments.