Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic · San Francisco, CA | New York City, NY · AI Research & Engineering · listed April 1, 2025
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$500,000 – $850,000 USD
Requirements listed
8
Length
1,139 words
In the posting’s own words
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. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.
What it asks for · 8
- Are proficient in Python and async/concurrent programming with frameworks like Trio
- Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
- Have industry experience in machine learning research
- Can balance research exploration with engineering implementation
- Enjoy pair programming (we love to pair!)
- Care about code quality, testing, and performance
- Have strong systems design and communication skills
- Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Also a plus
- Familiarity with LLM architectures and training methodologies
- Experience with reinforcement learning techniques and environments
- Experience with virtualization and sandboxed code execution environments
- Experience with Kubernetes
- Experience with distributed systems or high-performance computing
- Experience with Rust and/or C++
- Formal certifications or education credentials
- Academic research experience or publication history
Tools and skills named
Models & research
- Reinforcement learning5×
- LLM2×
- Machine learning2×
- Evaluations
- GPU
- JAX
- PyTorch
- TensorFlow
Cloud & infra
- Distributed systems2×
- Kubernetes
Languages
- C++
- Python
- Rust
Ways of working
- Testing2×
Words the posting leans on
- research10×
- experience8×
- reinforcement learning5×
- systems5×
- training4×
- design3×
- engineering3×
- evaluation3×
- frameworks3×
- implement3×
- models3×
- accelerate2×
- clean2×
- code2×
- collaborate2×
- developing2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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