168 senior machine learning engineer jobs at 61 companies in Washington
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
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.
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).
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
Expertise in machine learning, reinforcement learning, control theory, large-scale data analysis, online experimentation; strong software engineering in Python and deep learning (PyTorch).
OpendoorNASDAQ: OPEN: Online platform for buying and selling residential real estate.
Senior-level experience shipping and operating production ML systems; strong Python, statistics, and end-to-end ML lifecycle skills; experience with MLflow, Airflow, Spark, Delta Lake; strong communication and design decision abilities.
Python, MLflow, Airflow, Spark, Delta Lake, Kafka, gRPC, Redis
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
5+ YOE5+ years ML or software engineering experience, expertise in distributed systems, ML lifecycle, LLMs and RAG, production model deployment, Python and PyTorch experience.
GEICO: Provides vehicle and property insurance services to consumers.
5+ YOE5+ years building scalable AIML apps in cloud; Python/Java; 3+ years SDLC; 2+ years training/finetuning AIML models; 2+ years owning AIML apps; BS in CS/Engineering/Statistics.
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.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
5+ YOE5+ years ML engineering experience, deep Python, Databricks and Snowflake proficiency, production ML deployment, ML evaluation and experimentation, strong software engineering and communication skills.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience building ML infrastructure and generative AI systems, familiarity with data and model workflows, embeddings/ANN search, efficient inference, and feature platforms; strong research or engineering background in ML.
Qualtrics: Software for managing customer, employee, and product experiences.
5+ YOEBachelor's in CS or related, 5+ years ML engineering experience, expertise with TensorFlow or PyTorch, programming in Java/C#/Python, strong CS fundamentals, and experience building scalable ML systems and data pipelines.
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.
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.
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.
PitchBook: Financial data and software for private capital markets.
6+ YOE6+ years ML or software engineering experience; strong NLP/LLM experience; hands-on with transformers, GenAI, production ML, Python and SQL; experience with Kafka, Airflow, Snowflake, Docker, Kubernetes; BS required, MS preferred; must be authorized to work in the US.
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
5+ YOEDesign and build scalable ML systems for ad ranking, feature engineering, model evaluation, and large-scale data processing. Proficiency in SQL and Python required.
Wherobots: Cloud-native platform for geospatial data analytics and AI.
5+ YOE5+ years building distributed data/ML systems; hands-on experience with Ray, PyTorch, GPU inference, Python scientific stack, object storage, and large-scale data formats.
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.