10 reinforcement learning engineer jobs at 7 companies in Kenmore, WA
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Machine Learning Engineer, Drive
San Francisco or Sunnyvale or Seattle
$137k-$202k/yr OnsiteFull Time
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)
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Machine Learning Engineer, Drive
San Francisco or Sunnyvale or Seattle
$137k-$299k/yr OnsiteFull Time
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
1mo
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Machine Learning Engineer - Simulation Framework
Foster City or Seattle
$151k-$257k/yr HybridFull Time
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.
JAX, PyTorch, C++, Python, CUDA
2d
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Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start
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/yr OnsiteFull Time
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
2d
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Machine Learning Engineer Intern (E-Commerce Recommendation Mall) - 2027 Start (PhD)
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
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)
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ML Agent Engineer
Seattle, Washington, United States
OnsiteFull Time
Experience building systems for AI agents, reinforcement learning, and simulation environments; strong software engineering and research collaboration skills.
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Staff Software Engineer, AI/ML
Seattle, Washington, United States
$217k-$271k/yr HybridFull Time
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.
Python
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Staff ML Engineer, Perception Research
Mountain View or New York City or Kirkland or San Francisco
$251k-$310k/yr HybridFull Time
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.
JAX, Flax, TensorFlow, PyTorch, FSDP, xprof, Gemax, XManager
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Research Engineer Graduate (Agentic Arch) — 2027 Start (PhD)
Seattle, Washington, United States
$154k-$301k/yr OnsiteFull Time
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.
Python, C++, Go, Java
10h
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Member of Technical Staff - Post Training
Redmond, Washington, United States
$120k-$304k/yr HybridFull Time
4+ YOERequires a bachelor's degree or equivalent experience, 4+ years of technical engineering experience with coding, and experience in reward modeling, reinforcement learning, or post-training techniques.
C, C++, C#, Java, JavaScript, Python