MP
$350,000 – $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 involves building infrastructure systems to train, evaluate, and deploy AI models at Anthropic, working across the full stack from data pipelines to performance optimization. It suits experienced infrastructure engineers comfortable with distributed systems, containerization, and large-scale ML workloads who want to contribute to AI safety research.
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
- 6+ years infrastructure engineering experience
- Expertise in large-scale distributed systems
- Deep knowledge of performance optimization for ML workloads
- Experience with containerization (Docker, Kubernetes) at scale
- Experience building large-scale data pipelines and distributed storage
- Ability to diagnose and resolve complex infrastructure issues in production
- Work across full ML stack from data pipelines to optimization
Nice to have
- Language model training infrastructure experience
- Background in AI research lab or large-scale ML organization infrastructure
- GPU/TPU architecture knowledge and LLM inference optimization
- Enterprise-scale cloud platform experience
- VM and container orchestration familiarity
- Workflow orchestration and experiment management tools experience
- Large-scale reinforcement learning experience
- Large-scale data pipeline tools experience