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Listed on Protege’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A machine learning engineer role focused on building evaluation infrastructure and benchmarks for AI models at an early-stage data platform company. This suits engineers with ML experience who want to own full-stack infrastructure problems and work closely with customers and researchers to shape a new product vertical.
Our summary, not Protege’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 4+ years of engineering experience
- Hands-on experience evaluating machine learning models
- Previous ownership of backend and infrastructure systems
- High tolerance for ambiguity
- Bias toward action and velocity
- Strong written communication
Nice to have
- Experience building benchmarks or evaluations for LLMs
- Background at frontier AI labs or research organizations
- Early-stage startup experience
- Knowledge of agentic systems, reinforcement learning environments, code-execution sandboxes, or trusted execution environments