Strategic Projects Lead - AI Safety

Strategic Projects Lead - AI Safety

Reinforced Learning

8 hours ago

Full-time

On-site

Niagara Falls, New York, United States

Manager

Responsibilities

• Project and client management: Partner directly with the safety, alignment, and trust & safety teams at frontier AI labs — scoping their hardest data problems, translating them into deliverable programs, and driving revenue.

• Manage expert teams: Recruit and lead specialized contributors — red teamers, security researchers, trust & safety practitioners, and domain risk experts — and hold a high bar on the quality of what they produce.

• Shape how frontier models are made safe: Design the specifications behind adversarial datasets, jailbreak and attack taxonomies, refusal-boundary and over-refusal sets, and safety benchmarks that labs use to measure and improve model behavior.

• Build the red teaming machinery: Stand up repeatable methodologies — human red team campaigns, automated attack generation, coverage tracking against harm taxonomies — rather than one-off deliverables.

• End-to-end execution: Own projects from first conversation through final delivery, in a fast-moving environment where the spec often does not exist yet.

• Operational impact: Support initiatives across building, analysis, coordination, and execution as we scale the safety practice.

• Required Qualifications

• 2+ years in AI safety, red teaming, trust & safety, adversarial ML, or security research; at a frontier AI lab, FAANG, top security firm, or equivalent.

• Hands-on adversarial experience: jailbreaking or stress-testing frontier models, prompt injection research, offensive security, penetration testing, bug bounty, CTFs, or trust & safety investigations and enforcement.

• Fluency with how safety work is actually structured (harm taxonomies, evaluation design, safety frameworks and model policy).

• High agency and the ability to execute in ambiguity; comfort defining the problem before solving it.

• Strong writing. Much of this job is specifying risk precisely enough that fifty other people can execute against it.

• Genuine passion for AI and interest in entrepreneurship.

• Demonstrated track record of competitive success.

• Strong leadership and communication skills.

• Python proficiency and the ability to write production-quality code.

• Preferred Qualifications

• Published safety, alignment, or security research.

• Track record in bug bounty, CTF, or model red teaming competitions.

• Experience building automated red teaming or eval pipelines.

• Depth in a high-consequence risk domain (cyber, bio, fraud and financial crime, child safety, influence operations).

• Experience using AI tools to automate workflows and build products.

• Apply now

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