Applied AI Engineering Lead — Frontier ML Systems

Mercor; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Mercor in San Francisco, CA is hiring Engineering Leads to guide Applied AI teams building evaluation infrastructure, reward-model pipelines, and data-to-training workflows. You will lead engineers, partner with product and research, and shape engineering practice at Mercor.

Ideal candidates have 6–10 years in engineering with 2–3+ years of people leadership, a track record of scalable systems, and fluency with ML/LLM concepts to collaborate with researchers and translate research into

Qualifications

• 6–10 years in engineering.
• 2–3+ years leading teams.
• Strong background in building scalable systems.
• Comfort with ML/LLM concepts to partner with researchers.

Responsibilities

• Lead engineering teams and set direction.
• Partner with product, research, and operations.
• Design and evolve evaluation pipelines and data flows.
• Drive ownership and scale Mercor's engineering practices.

Skills

Engineering leadership

Scalable systems

ML/LLM concepts

People leadership

Job description

Mercor in San Francisco, CA is hiring Engineering Leads to guide Applied AI teams building evaluation infrastructure, reward-model pipelines, and data-to-training workflows. You will lead engineers, partner with product and research, and shape engineering practice at Mercor.

Ideal candidates have 6–10 years in engineering with 2–3+ years of people leadership, a track record of scalable systems, and fluency with ML/LLM concepts to collaborate with researchers and translate research into