10 reinforcement learning engineer jobs at 7 companies in Carnation, WA
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Machine Learning Engineer, Drive
San Francisco or Sunnyvale or Seattle
$137k-$202k/yrOnsiteFull Time
DoorDashNASDAQ: DASH: On-demand delivery platform connecting consumers with local merchants.
5+ YOERequires 5+ years building production ML systems, Python, PyTorch, Spark, Airflow, modern ML infrastructure, and expertise in deep learning, reinforcement learning, optimization, LLMs, or VLMs.
PyTorch, Spark, Airflow, Python, Claude Code, Codex, Cursor, large language models (LLMs), vision-language models (VLMs)
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
5+ YOE5+ years building production ML systems; expertise in deep learning, reinforcement learning, optimization, or LLMs/VLMs; Python, PyTorch, Spark, Airflow, ML infrastructure, and AI-assisted development tools required.
PyTorch, Spark, Airflow, Python, Claude Code, Codex, Cursor
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.
Seattle or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$122k-$243k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Bachelor’s degree in a relevant technical field; machine and deep learning foundation; research or project experience with LLMs, reinforcement learning, generative models, recommendation systems, or information retrieval; Python and a deep learning framework.
Python, PyTorch, TensorFlow, JAX, Large Language Models (LLMs), Reinforcement Learning (RL), GPU
Seattle or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
OnsiteInternship
TikTok: Global short-form video hosting and social media platform.
Currently pursuing a PhD in a relevant quantitative field; machine learning and deep learning foundation; research in LLMs, reinforcement learning, generative models, recommender systems, or information retrieval; Python and deep learning framework proficiency.
Python, PyTorch, TensorFlow, JAX, Large Language Models (LLMs), Reinforcement Learning (RL)
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience building systems for AI agents, reinforcement learning, and simulation environments; strong software engineering and research collaboration skills.
Senior PMT ES - Reinforcement Learning, SageMaker AI
Bellevue or Santa Clara
$152k-$237k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEBachelor's in CS/engineering/math/finance/econ, 5+ years technical product management with internet business experience, experience taking products from conception to market, working with customers and technical teams; RL and large-scale SaaS/PaaS experience preferred.
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
8+ YOE8+ years building production AI/ML systems; experience with reinforcement learning, reward modeling, fine-tuning, human feedback; strong software engineering in Python and another production language; experience shipping learning systems and running large-scale experiments.
Mountain View or New York City or Kirkland or San Francisco
$251k-$310k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
4+ YOEMaster's or PhD in a technical field and 4+ years of industry or postdoctoral research experience in reinforcement learning or foundation models. Requires distributed training, JAX, Flax, and Transformer optimization expertise.
Research Engineer Graduate (Agentic Arch) — 2027 Start (PhD)
Seattle, Washington, United States
$154k-$301k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
PhD in Computer Science or related discipline (completing or recently completed), research or engineering experience in AI agents/LLMs/reinforcement learning, strong programming in Python/C++/Go/Java, and ability to design experiments and translate research to production.