$280,000 – $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
This role focuses on solving large-scale systems challenges that emerge when training and running machine learning models at Anthropic's scale. You'll optimize the throughput and robustness of distributed systems, potentially working on GPU kernels, load balancing, fault tolerance, and performance debugging—ideal for someone with strong systems engineering or supercomputing background who wants to deepen ML expertise.
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
- Bachelor's degree or equivalent professional experience
- Significant software engineering or machine learning experience, particularly at supercomputing scale
- Systems problem-solving track record
Nice to have
- High-performance large-scale ML systems experience
- GPU and accelerator programming
- ML framework internals knowledge
- OS internals understanding
- Transformer language model experience
- Pair programming enthusiasm