Machine Learning Engineer, Safety

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
• Highly competitive compensation