Anthropic
Research Engineer, Machine Learning (Reinforcement Learning)
- San Francisco, United States · On-site
- $500–850K / year
- Posted last year
- Visa sponsorship available
From Anthropic's careers page (Greenhouse)
What they ask for vs. your profile
- Machine learningNot on your profile
- LLMsNot on your profile
- PythonVerified on your profile
- KubernetesNot on your profile
- RustNot on your profile
- PyTorchNot on your profile
Close the gap for free
Machine learning
- Free course
- Machine Learning Crash Course, Google
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
LLMs
- Free course
- LLM Course, Hugging Face
- Videos
- LLMs lessons on YouTube
- Book
- Build a Large Language Model (From Scratch) (Raschka)
Kubernetes
- Free course
- Kubernetes Basics, kubernetes.io
- Book
- Kubernetes: Up and Running (Burns, Beda, Hightower, Evenson)
Rust
- Free course
- The Rust Programming Language, rust-lang.org
- Videos
- Rust lessons on YouTube
- Book
- The Rust Programming Language (Klabnik, Nichols), free online
PyTorch
- Free course
- Practical Deep Learning for Coders, fast.ai
- Book
- Deep Learning with PyTorch (Stevens, Antiga, Viehmann)
About the role
About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models.
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