317 machine learning jobs at 79 companies in Covington, WA
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Machine Learning Engineer - Applied Science
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced applied researcher/engineer with hands-on experience in search and recommendation, LLMs, and deploying machine learning models at scale; strong technical and product orientation.
Mountain View or Bellevue or Seattle or New York City or California or United States
$166k-$273k/yrHybridFull Time
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Expertise in machine learning and deep learning for user behavior modeling, proficiency with Python and PyTorch, metric design, large-scale data analysis, and ability to drive end-to-end projects.
Machine Learning Engineer, Search - Local Services Team
Seattle, Washington, United States
$148k-$301k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Strong machine learning and deep learning foundation, experience with large-scale search/recommendation, excellent coding and algorithm skills, Linux proficiency, and NLP experience.
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
5+ YOEBachelor's in CS or related and 5+ years engineering experience; proficiency in C,C++,C#,Java,JavaScript or Python; experience with machine learning, large-scale distributed systems, and security screening requirements.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience shipping ML/LLM features to production, evaluation harnesses, LLM APIs/fine-tuning/retrieval experience, production-quality code, strong communication and problem framing skills.
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
5+ YOESenior-level experience shipping production ML systems, strong Python, statistics, end-to-end ML lifecycle expertise, familiarity with MLflow/Airflow/Spark/Delta Lake, and ability to work across research, product, and operations.
Python, MLflow, Airflow, Spark, Delta Lake, Kafka, gRPC, Redis
ZoomNasdaq: ZM: Provides a cloud-based platform for video, voice, and collaboration.
3+ YOEBachelor's in CS/CE or related field with 3 years of experience; Python/C/C++, CUDA; PyTorch/TensorFlow; AI projects; cross-functional collaboration; scalable ML systems; data analysis; travel not required; telecommuting 1 day/week; 4 days in office.
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.
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.
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.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOEDegree or 5 years equivalent experience in ML/data science, demonstrated ML background, strong programming in Python or Java, and experience with deep learning frameworks (TensorFlow or PyTorch) preferred.
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
Master's or PhD in CS/robotics/ML, deep reinforcement learning experience, strong C++ and Python skills, hands-on with JAX or PyTorch, experience bridging sim-to-real fidelity gaps and working with GPU/CUDA environments.
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).
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.
Amperity: AI-powered customer data platform for unified consumer profiles.
5+ YOE5+ years building production ML systems, experience designing ML pipelines and infrastructure, Python and ML framework experience, Kubernetes/Docker and cloud-native MLOps, mentoring and leading complex ML projects.
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.
Extreme NetworksNASDAQ: EXTR: Provides cloud-managed networking hardware and software solutions.
12+ YOE12+ years software lifecycle experience, proficiency in Python/Java, cloud and distributed systems, PyTorch/CUDA and big-data ML tooling; degree in CS/math or related; experience leading ML architecture and mentoring engineers.
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.