Member of Technical Staff - Frontier Data

What You'll Do

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 where it accelerates the broader community

Who You Are

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 Roboflow'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

Roboflow is a fully distributed company with our Frontier Data team headquartered in San Francisco. We currently have Hubs in New York City, San Francisco, Singapore, and Brazil (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

What You'll Receive

The target compensation for this role is $150,000 - $300,000 base, depending on experience and performance.

In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

• $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
• Cover up to 100% of your health insurance costs for you and your partner or family
• $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space
• $350/mo AI Stipend
• $500 one time home office stipend
• $150/mo Team lunch stipend
• Unlimited PTO - with an annual 2 week minimum, we encourage you to take time off for yourself
• 12 weeks parental leave
• Equity in the company so we are all invested in the future of computer vision

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.

Interview Process (~3.5 hours)

Below is the interview process you can expect for this role. We're committed to building an exceptional team and aim to be thoughtful while also moving quickly. We respect your time and strive to make decisions efficiently, depending on scheduling and availability.

You'll have several conversations with the hiring manager, a member of the Roboflow leadership team, and complete a role-relevant project or challenge.

Throughout the process, you'll speak directly with team members about what it's like to work and succeed at Roboflow.

Before the Interview:

• We'll review your application, LinkedIn, Github, etc.
• The best way to stand out is to write about something you've built with Roboflow or contribute to one of our open source projects.

Introduction Phase:

• [30m] Meet with hiring manager to assess for overall mindset and skillset
• [45m] Written exercise, take-home - given a realistic partner request, produce a delivery plan: scope, quality bar, staffing, timeline, and risks.

Team Interview Phase:

• [30m] Meet with another member of the Frontier Data team (engineering partner)
• [60m] Meet with hiring manager again

• Use this time to review specifics about the job description
• Begin working through your 30/60/90 projects
• Ask questions!

Delivery Review Phase:

• [45m] Walk through your take-home exercise with the hiring manager and one partner-facing teammate, we'll pressure-test your plan and see how you adapt when requirements change mid-flight

Final Interview Stage:

• [30m] Leadership conversation focused on culture and company vision

References:

• References are required as part of our process. We will reach out to coordinate timing.

Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can.