Frontier AI Safety ML Engineer

Harrison Clarke; San Francisco (CA); Hybrid; USD 190,000 - 275,000; Full time

Job summary

Harrison Clarke is seeking a Machine Learning Engineer focused on safety for a frontier AI lab in the Bay Area. This role centers on making advanced AI systems reliable, controllable, and aligned as capabilities grow, with hands-on work at the edge of current capabilities.

You will work on evaluation, red-teaming, safety post-training, and guardrails, with a bias toward shipping solutions end-to-end in a compact, senior team. Hybrid Bay Area work arrangement offered.

Qualifications

• Strong ML engineering skills with hands-on experience in LLMs or foundation models.
• Experience in safety-focused areas such as alignment, evals, or post-training methods.

Responsibilities

• Build evaluation and safety-oversight systems for advanced reasoning.
• Perform red-teaming and adversarial testing to drive model improvements.
• Develop safety-focused post-training, reward modelling, and guardrails.
• Identify and mitigate failure modes in multi-step reasoning under ambiguity.

Skills

ML engineering

LLMs/foundation models

safety/alignments

red-teaming/evals

Job description

Harrison Clarke is seeking a Machine Learning Engineer focused on safety for a frontier AI lab in the Bay Area. This role centers on making advanced AI systems reliable, controllable, and aligned as capabilities grow, with hands-on work at the edge of current capabilities.

You will work on evaluation, red-teaming, safety post-training, and guardrails, with a bias toward shipping solutions end-to-end in a compact, senior team. Hybrid Bay Area work arrangement offered.