MP
$300,000 – $405,000
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
A researcher or engineer combining molecular biology expertise with machine learning to design safety systems that prevent frontier AI models from enabling biological harm while remaining useful to legitimate life scientists. This suits someone with deep knowledge of modern biology and scientific programming who wants to apply that expertise to AI safety evaluation and classifier development.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- Strong Python proficiency and scientific programming experience
- ML fundamentals knowledge and ability to adopt ML development practices
- Deep modern biology knowledge including assays, functional characterization, gene synthesis, genome editing, strain construction, and protein engineering
- Ability to build and maintain own tooling
- Experience designing quantitative experiments and drawing conclusions from noisy results
- Strong analytical and technical writing skills
- Familiarity with biosecurity frameworks including select agent regulations and the Biological Weapons Convention
- Independent work capability with strong cross-functional collaboration
- Results-oriented with flexibility and impact focus
Nice to have
- Experience with large language models including prompting, fine-tuning, or evaluation
- Production classifier or ML system deployment experience
- ML methods development for biological systems or data
- Adversarial robustness or ML safety evaluation experience
- At least 8 years hands-on life sciences experience with deep expertise in molecular biology, drug discovery, or computational biology
- Experience leading complex technical projects across multiple stakeholder groups