36 machine learning platform engineer jobs at 22 companies in Kenmore, WA
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Machine Learning Platform Engineer
San Francisco or New York City or Los Angeles or Seattle
$245k-$345k/yrHybridFull Time
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems, 3+ years engineering production systems, 1+ year Python, experience with distributed training/inference, databases, monitoring, and cloud services.
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.
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.
Wherobots: Cloud-native platform for geospatial data analytics and AI.
5+ YOE5+ years building distributed data or ML systems; experience with Ray/Spark/Dask, GPU inference, Python and scientific stack; geospatial and object-storage expertise.
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.
Staff Machine Learning Engineer, Foundation - Seattle
Seattle, Washington, United States
$208k-$299k/yrHybridFull Time
Qualtrics: Software for managing customer, employee, and product experiences.
7+ YOEBachelor's degree in CS/AI or related, 7+ years ML engineering experience, proficiency with Python/Java/C++, TensorFlow/PyTorch/Keras, cloud platforms (AWS/Azure/Google Cloud), experience deploying ML models, strong communication and leadership skills.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years ML-focused software engineering experience, proficiency with Java and large-scale ML platforms, experience with ML frameworks and LLMs, strong communication and problem-solving skills.
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.
Hyderabad or San Francisco or New York City or Austin or Seattle or India or United Kingdom
HybridFull Time
Demandbase: Provides account-based marketing and sales intelligence software.
5+ YOERequires 5–7 years in ML engineering or related work, strong Python and SQL, production ML experience, GenAI/LLM, NLP, cloud-platform, and large-dataset expertise; Scala is a plus.
San Francisco or Bellevue or New York City or Seattle
$193k-$358k/yrHybridFull Time
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
8+ YOE8+ years industry experience, deep expertise in search/ranking, production ML systems, online experimentation, strong Python skills, experience with distributed systems and cloud platforms (AWS/GCP/Azure), and SQL/pipeline knowledge.
NetflixNASDAQ: NFLX: Global video streaming and media production service.
7+ YOE7+ years software engineering; 3+ years ML infrastructure, model serving, or ML platform experience in ads/real-time decisioning; real-time model serving with sub-20ms latency; proficiency in Java, Python, or Scala; experience with ML serving frameworks and real-time feature pipelines; strong model monitoring and production readiness.
Java, Python, Scala, ML serving frameworks, feature stores, model registries
Palo Alto or Jersey City or Seattle or New York City
$138k-$185k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
3+ YOE3+ years of software engineering experience with Python, cloud ML training, CI/CD automation, deep learning frameworks, distributed training, Kubernetes, AWS, and AI-assisted development tools.
Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM/Agent)-E-Commerce Government
Seattle, Washington, United States
$202k-$368k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Bachelor's in computer science or related field, strong coding in Linux with Python/Go/C++, solid ML/deep learning foundations, expertise in NLP/CV/multimodal/graph/LLM areas, and experience building large-scale platforms.
Stripe: Provides online payment processing and financial infrastructure for businesses.
10+ YOE10+ years of software development; technical lead; production ML platform experience; cross-functional collaboration; autonomous; AI tooling experience.
AWS, SageMaker, Databricks, OpenAI, Python, Java, SQL, ML platforms
Member of Technical Staff - Machine Learning Capabilities, New Graduates
San Francisco or Toronto or Seattle
$165k-$200k/yrOnsiteFull Time
Preference Model: Building reinforcement learning environments to train frontier AI models.
0+ YOENew graduate ML engineers with strong ML fundamentals, Python proficiency, systems programming, and interest in RL environment design; familiarity with PyTorch or JAX and cloud platforms a plus.
Principal Software Engineer, Machine Learning Infrastructure
Palo Alto or Seattle or Los Angeles or New York or Bellevue
$235k-$414k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
10+ YOE10+ years software development experience, technical leadership, distributed systems and ML inference platform expertise, strong software design and debugging skills, ability to operate highly-available systems at scale.
Nominal: Software platform for testing and operating complex hardware systems.
Experienced software engineer with production AI or machine learning experience, large-scale data systems expertise, scalable backend or distributed systems skills, and zero-to-one product development experience.
AI, machine learning, time series, telemetry, observability platforms, data infrastructure, distributed systems, agent infrastructure, evaluation pipelines, retrieval systems, LLM applications, retrieval pipelines, time series databases, observability tooling, data platforms
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years professional software development and systems design experience; experience leading teams; knowledge of ML/LLM fundamentals and frameworks; mentor and technical leadership skills.