Member of Technical Staff – Environment Engineering (AI Data)
Summary
Build data pipelines at an early-stage San Francisco startup that converts real professional work (e.g., engineering drawings and 3D models) into RL training environments and evaluations for frontier AI labs. You'll design datasets, quality checks, and graders with researchers and domain experts, on-site on a 9-9-6 schedule.
You build data pipelines yourself and you love digging into individual examples. Turn real expert work into training environments for frontier AI.
An early-stage San Francisco startup converts real professional work, such as an engineering drawing and its 3D model, into reinforcement-learning tasks and evaluations for frontier AI labs and enterprises. It starts with engineering and life sciences, already runs at an eight-figure revenue rate, and works with several of the leading labs. The team is six people today and heading to about fifteen by year end.
They're hiring 2 engineers for this team.
What you'll own
- Pipelines that turn raw professional work into RL tasks and evals
- Dataset definitions, worked out together with lab researchers
- Quality checks and graders, designed with domain experts
- Spotting ambiguous tasks and tasks a model could game, before they ship
Must-haves
- Hands-on work in data delivery, RL environments or evals at a data company, or a background in quant trading (internships included). Working at a data company in an unrelated function, like payments, doesn't qualify.
- A strong programmer who built pipelines, automation or AI applications personally, not only specified them
- At least 1 year of experience
- Able to start soon
- Working from the San Francisco office, 9-9-6, and happy in a startup where things shift quickly
Bonus points
- Experience with synthetic data, agents or evaluating models
- A data-quality problem you tracked down by inspecting individual examples
- Side projects you shipped on your own time
What's in it for you
- $200k–$400k base + 0.1–0.5% equity
- Working day to day with AI researchers, in a small and very strong team
- Health, dental and vision cover, gym access, and $1,000 a month for meals
Good to know
- Full-time, on-site in San Francisco, 9-9-6
- Visa options are limited: US citizens and green card holders, refugees or asylees, and H-1B, O-1 or TN holders can be considered, so please share your exact status
- Process: profile review → system-design interview (1 hour) → open-ended coding interview (1 hour, AI tools allowed) → one day on-site with a project and a short presentation → offer
When you apply, please include
- Your CV (PDF), your LinkedIn URL, and GitHub or a link to something you built
- An eval, RL environment or data pipeline you built yourself, in a few sentences
- Your current location, and confirmation that on-site San Francisco works for you
- Your visa or citizenship status, and if you'll need sponsorship
- When you could start, your base salary expectation, and any other interview processes you're in
Does this sound like you? Apply now. If you're a match, we'll be in touch within 3 working days.
RnB Consultancy | Netherlands | 3604 AB Maarssen | KvK 71489703