3 hours ago
Base Salary
$150k - $300k/yr
Responsibilities
- Design and build reinforcement-learning environments, evaluations, and datasets for high-value frontier-model capability gaps.
- Develop internal platforms and infrastructure to run hundreds of thousands of tasks with strong throughput, reproducibility, and observability.
- Collaborate with researchers and engineers at leading AI labs to shape dataset development around model roadmaps.
- Build grading harnesses, metrics, and automated checks to measure environment and dataset quality.
- Prototype rapidly and harden successful work into production systems that others can operate independently.
- Contribute to Roboflow’s open-source projects when beneficial to the broader community.
Requirements
- Strong generalist engineering background and practical experience with agents, evaluations, or reinforcement-learning workflows.
- Strong technical background and written communication skills.
- Ability to work autonomously on ill-defined problems at the frontier of AI with a bias toward action.
- Experience with computer vision, multimodal models, or prior work with an AI lab as a data or evaluation partner is preferred.
Benefits
- Fully distributed work arrangement with options to work from home, coworking spaces, or Roboflow hubs in New York City, San Francisco, Singapore, and Brazil.
- $4000/year travel stipend for working alongside teammates, plus opportunities for team onsites and a relocation bonus for hub moves.
- Up to 100% health insurance coverage for the employee and partner or family.
- $350/month productivity stipend, $350/month AI stipend, $500 one-time home office stipend, and $150/month team lunch stipend.
- Unlimited PTO with an encouraged annual minimum of two weeks, plus 12 weeks of parental leave.
- Equity in the company.
Categories
AI ResearchBackend
About Roboflow
Roboflow creates software-as-a-service products to make building with computer vision easy. Over 1,000,000 developers use Roboflow to manage image data, annotate and label datasets, apply preprocessing and augmentations, convert annotation file formats, train a computer vision model in one-click, and deploy models via API or to the edge. https://roboflow.com