MP
Machine Learning Infrastructure Engineer, Safeguards Research
Menlo Ventures PortfolioNew York, NY · full time
$350,000 – $500,000
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 infrastructure engineer role owns the systems that researchers use to train and evaluate AI safeguard detection methods, bridging rapid experimentation with production reliability. You'll build the pipelines, tooling, and abstractions that let detection research scale as Anthropic's models evolve.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
What they ask for
Required
- Strong software engineering fundamentals and hands-on Python coding
- Experience building and operating data-intensive or distributed systems in production
- Experience building infrastructure or tooling that other engineers or researchers depend on
- Ability to work across research-to-deployment pipeline from experiments to production
- Ability to debug performance and correctness problems across unfamiliar stacks
- Strong written and verbal communication skills
Nice to have
- Experience with high-performance large-scale machine learning systems
- Familiarity with language modeling and transformers including model internals
- Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization
- Experience building experiment tracking, caching layers, or evaluation harnesses for research teams
- Experience with probes, interpretability, or classifier development
- Interest in AI misuse risks and mitigation