Roboflow aims to make the world programmable through computer vision tools, enabling developers to build and use machine learning models to solve real-world problems. The company is focused on making state-of-the-art vision models accessible to a global developer base, with applications ranging from cancer research to construction site safety.
Requirements
- 3–4+ years of hands-on ML research experience
- Author on peer-reviewed papers; able to demonstrate track record of meaningful research contributions
- Expert-level knowledge in PyTorch, modern vision architectures (YOLO, SAM, VLMs), and training pipelines
- Deep knowledge of object detection, instance segmentation, keypoint detection, SAM, and VLMs
- Innovative Thinker: Comes up with new ideas and pushes the boundary of what’s possible in vision
- Collaborative Researcher: Balances academic rigor with practical usability; enjoys collaborating with engineers
- Independent & Impact-Oriented: Thrives in ambiguous environments (like fast-paced startups), seeks out hard problems, and cares about delivering real-world results
Responsibilities
- Research and prototype novel computer vision models and training techniques
- Lead end-to-end ML research projects: identify problem areas, survey academic/industry approaches, experiment, and implement
- Build and iterate on vision models in PyTorch with a focus on segmentation, detection, and few-shot understanding
- Reproduce and extend results from top academic papers using PyTorch
- Build open-source and production-quality implementations for public and internal use
- Work closely with product and engineering to ensure research is reproducible and user-facing while owning the research direction and methodology
- Develop models that outperform existing state-of-the-art tools used by thousands of real users in production environments
Other
- PhD preferred but not required if equivalent industry experience
- Remote first/flexible schedule allowing you to work collaboratively with other team members and asynchronously
- Unlimited PTO with an annual 2 week minimum
- 12 weeks parental leave
- Equal Employment Opportunity: Committed to building a diverse and inclusive team
