Synced from Ashby · Aug 25

Member of Technical Staff

RoboflowSan FranciscoPosted Aug 25, 2026
Research EngineerOn-siteSenior
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Mirrored from Roboflow's own Ashby careers system · refreshed hourly

$150k–$300k
Compensation
35
Other open Roboflow roles
Aug 25
Posted
Ashby
Applicant system
Job description

Who We Are

Roboflow is building the visual cortex for AGI.

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

We have built the tools, community, and resources needed to make the world programmable with artificial intelligence. We're supported by great customers and investors, having raised over $100 million from Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, Y Combinator, and more.

Roboflow 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 Roboflow 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.

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 hubs in San Francisco, New York City, Singapore, and Brazil. Roboflow 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 Roboflow 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

At Roboflow, we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.

View original posting on Ashby

What applying to Roboflow usually looks like

Based on publicly available information, candidates applying through Ashby can typically expect a streamlined, structured application process with an online application form followed by an initial recruiter or hiring team review. The process may include multiple stages, such as a recruiter screen, hiring manager conversation, skills-based or technical assessments depending on the role, and panel interviews with team members. Ashby's platform commonly supports features like structured scorecards and standardized evaluation criteria, which can make the process feel organized and consistent across candidates. Communication is often handled through automated status updates within the system, though response times vary depending on the company's internal hiring needs and volume of applicants. Candidates may also be asked to complete take-home exercises or case studies for technical or specialized positions. As with most ATS-driven processes, preparation, clarity in application materials, and prompt follow-up can generally improve a candidate's experience.

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Member of Technical Staff
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