Member of Technical Staff, Forward Deployed

Chakra Labs • New York, NY

21h • Hybrid

About The Position

Chakra Labs' mission is to encode human taste into intelligence. We build high-fidelity environments, evals, and datasets for frontier AI research, working with several of the top labs. Our work sits at the frontier of post-training, agent environments, data quality, and research infrastructure. We care about building systems that make models better in ways that are measurable, useful, and hard to fake.

Requirements

• Strong generalist engineer comfortable across backend services, data pipelines, and enough frontend to ship a usable interface.
• Proficiency in TypeScript/Python or similar.
• Ability to own a whole deliverable rather than just a layer of one.
• Ability to turn a loosely-defined research question into a concrete environment, task set, eval, or dataset and validate that it measures what was meant.
• Experience shipping production software (ideally at least 3 years, but less is acceptable if the other qualifications are met).
• Genuine interest in how agents fail and how to measure it.

Nice To Haves

• Experience at the frontier of post-training, agent environments, data quality, and research infrastructure.

Responsibilities

• Take problems from a researcher's hunch to a shipped deliverable, working at the edge of what agents can currently do.
• Build high-fidelity environments, tasks distributions with grading logic, and datasets built to a demanding spec.
• Write environment code, task specs, and scoring harnesses.
• Recognize when a custom build proves out a capability worth generalizing and help fold it into the core product.
• Communicate clearly with researchers and technical customers, push back when they're asking for the wrong thing, and know the difference between what someone requests and what they need.
• Learn task design, LLM-judged scoring, and reward hacking detection on the job.

Benefits

• Work with a small team who has years of shipping high-impact products over the last decade.
• Get to touch the latest and greatest technologies across the data, AI, and infrastructure stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed