Member of Technical Staff, Enterprise Evals Platform

About the Role

Enterprise agents are complex systems, and they only pay off when their work is reliable and economically viable. Evaluation is how you get both: checking correctness is the obvious case, and routing is the subtler one, since choosing a model against cost, latency, and quality requires quality to be measurable at all. Knowing where the bar sits is the hard part. You decompose real work, take the standard from the practitioners who hold it, and encode it so an agent cannot shortcut it.

You will apply what Mercor has learned building benchmarks with domain experts, and devise new methods, so that evals and rubrics keep improving and so do the agents measured against them.

That work only scales with a platform behind it. This is a platform engineering role with good depth of understanding in evals. You will build the verifiers, the environments agents are measured in, and the grading infrastructure that runs at scale, abstracted across customers, domains, and tasks so that every run becomes evidence the next agent inherits instead of starting over.

Responsibilities

• Define golden sets: decompose real tasks and encode the expert quality bar.
• Build verifiers over agent trajectories and outputs, calibrated and hard to game.
• Build the eval platform that runs offline environments, task suites, and grading at scale.
• Run loss analysis over production trajectories and turn failure modes into regression tests.
• Run the optimization loop across models, prompts, skills, and harnesses.
• Own the rollout gates that decide whether an agent change ships.
• Partner with the Enterprise Platform team and the Applied AI engineers embedded with customers.

What We're Looking for

• Professional, academic, or research experience in agent engineering and evaluation, including how agent runtimes and harnesses produce a trajectory and where it fails.
• Experience building evaluation suites for LLM or agent systems, and familiarity with how benchmarks such as terminal-bench, tau-bench, and APEX are constructed and where they get gamed.
• Judgment about task and rubric design: turning a fuzzy notion of quality into something measurable, with agent or model improvements to show for it.
• Strong software engineering fundamentals, and the ability to work independently on ambiguous, loosely specified problems.
• Bonus: experience with Harbor environments and RL environments.

Benefits

• Up to $15k relocation bonus
• $10K housing bonus (if you live within 0.5 miles of our office)
• $1.5K monthly stipend for meals
• Generous equity grant vested over 4 years
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement
• Health, Dental, Vision insurance