Machine Learning Engineer, Safety | Stealth Mode Frontier AI Lab | Bay Area
I'm working with a well-funded, early-stage stealth AI lab building genuinely frontier systems - and they're hiring a Machine Learning Engineer focused on safety.
The mission: make advanced AI systems reliable, controllable, and aligned as their capabilities grow. This is hands-on, unsolved-problem work at the edge of what's possible.
What you'd work on
- Evaluation and oversight systems for advanced reasoning and agentic behaviour
- Red-teaming and adversarial testing - turning findings into real model and training improvements
- Safety-focused post-training, reward modelling, and guardrails
- Identifying and mitigating failure modes in complex, multi-step reasoning
You might be a fit if you have
- Strong ML engineering skills and hands-on experience with LLMs / foundation models
- Work in one or more of: post-training (SFT/RL/RLHF), evals, red-teaming, alignment, or safety infrastructure
- A bias toward shipping and owning problems end-to-end in an ambiguous environment
- Real interest in the hard problems of frontier AI safety
Details
- Bay Area, hybrid
- Small, senior, talent-dense team - real ownership from day one
Machine Learning Engineer, Safety in san francisco at Unknown Company
This position is listed as full time and hybrid.