$500,000 – $850,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Join Anthropic's RL Engineering team to build and improve the reinforcement learning training system that powers Claude's capabilities. This role offers the chance to work across the full ML stack on production-scale systems while collaborating with research teams across the company.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Proficiency in Python
- Experience with large-scale ML training systems or reinforcement learning
- Experience with at least one modern ML framework (JAX, PyTorch, or similar)
- Ability to design and validate controlled experiments
- Balance research exploration with engineering implementation
- Strong written and verbal communication skills
- Bachelor's degree or equivalent
Nice to have
- Experience with RL for large language models
- Experience studying training dynamics at scale
- Experience with distributed training systems
- Knowledge of LLM architectures and training methodologies
- Experience working on frontier training runs
- Experience profiling and optimizing ML workloads
- Experience with RL environments and evaluations
- Experience with Rust or C++