7 reinforcement learning engineer jobs at 6 companies in Bothell, WA
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Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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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.
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.
Santa Clara or Austin or Redmond or California or Texas or Washington
$152k-$242k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
5+ YOEM.S./PhD or equivalent experience in CS/CE, 5+ years building AI/ML systems, strong Python and C++ skills, experience fine‑tuning large models and distributed training, reinforcement learning and prompt engineering, GPU/compilation knowledge.
Python, C++, Transformers, PEFT, LoRA, NVIDIA NeMo, CUDA
Santa Clara or Austin or Redmond or Texas or Washington or California
$152k-$242k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOEM.S./PhD or equivalent experience, 5+ years building AI/ML systems, strong ML fundamentals, Python and C++, experience training/finetuning large models, reinforcement learning, CUDA and compiler/GPU performance knowledge.
8+ YOE5+ MgmtBachelor's degree or equivalent, 8+ years software development, 7+ years leading ML/ML infrastructure strategy, 5+ years people management, experience with speech/audio or reinforcement learning or ML infrastructure, cloud GPU experience preferred.
Google Compute Engine (GCE), Vertex AI, Google Cloud, TPU, GPU