Member of Technical Staff

Description

Who We Are

The company is building the visual cortex for AGI.

Every day, millions of developers and half of the Fortune 100 use the company to count cells (the company's site) to accelerate cancer research, improve construction site safety (the company's site), digitize floor plans (the company's site), preserve coral reef populations (the company's site), guide drone flight (the company's site), and much more (the company's site).

We have built the tools, community, and resources needed to make the world programmable with artificial intelligence.

The company Labs is our applied research unit. We train our own open models (RF-DETR). We build our own benchmarks grounded in real enterprise use cases (RF100-VL). And we partner with frontier labs to deliver the training data they need to advance the capabilities that drive the most value back to our customers.

Behind all of it is a global network of millions of the company developers who have annotated billions of images and videos to date, as well as a proven enterprise business that is exploding as AI traverses the physical economy.

Responsibilities

• As a Member of Technical Staff on our Frontier Data team, you’ll build the environments, evaluations, and datasets that expand what frontier models can actually do. This is work at the edge of the field: identifying high-value capability gaps, then designing the tasks, reward signals, and data that close them. You’ll write the platform code that lets us run hundreds of thousands of tasks reliably and at scale, and you’ll work shoulder-to-shoulder with researchers and engineers at leading AI labs who depend on what we ship. You’ll operate with a lot of autonomy across a wide surface area — systems engineering, ML tooling, and research collaboration — and your judgment about what to build will matter as much as your ability to build it.
• Design and build RL environments, evaluations, and datasets that target high-value gaps in frontier model capability
• Develop internal platforms and supporting infrastructure to run hundreds of thousands of tasks at scale, with the throughput, reproducibility, and observability that demands
• Collaborate directly with researchers and engineers at leading AI labs to scope and shape dataset development against their model roadmaps
• Make quality measurable — build the grading harnesses, metrics, and automated checks that tell us whether an environment or dataset is actually good
• Prototype fast, then harden what works into production systems others can run without you
• Contribute back to our open source projects (the company's site) where it accelerates the broader community

Requirements

• You are a strong generalist engineer who is energized by ill-defined problems at the frontier of AI, and who wants to be an important part of an exceptional team using the company’s computer vision platform to advance frontier model capabilities. You have high agency and a bias toward action.
• Practical experience with agents, evaluations, or RL workflows.
• Strong technical background and written communication
• Nice to have: experience with computer vision or multimodal models, or prior work with an AI lab as a data or evaluation partner
• Where You'll Work
• The company is a fully distributed company with hubs in San Francisco, New York City, Singapore, and Brazil. The company Labs works in person in San Francisco. We host full company retreats twice per year.
• What You'll Receive
• The target compensation for this role is $150,000 – $300,000 base salary commensurate with experience as well as equity in the company. Total cash comp is expected to scale significantly with growth of the company Labs.
• In addition, we offer generous perks and benefits. Below are some of the highlights:
• Generous stipends covering travel, productivity, tools, meals, and office.
• Up to 100% of your health insurance costs covered.
• Unlimited PTO - with an annual 2 week minimum.
• 12 weeks parental leave
• Not sure if this is you?
• We want a diverse, global team with a broad range of experience and perspectives. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.
• Learn More About Us
• Experience: 8+ years
• Visa: US citizen/visa only