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Roboflow · 2 months ago

Machine Learning Research Engineer

United States

Full-time

Remote

Mid, Senior Level

$180K/yr - $275K/yr

3+ years exp

Roboflow is dedicated to making the world programmable through artificial intelligence, particularly in the field of computer vision. As a Machine Learning Research Engineer, you will research and prototype innovative computer vision models, lead ML research projects, and collaborate closely with product and engineering teams to deliver impactful solutions.

Artificial Intelligence (AI)Computer VisionDeveloper Tools

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

Help ML Engineers implement and deliver your work

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

Drive innovation in key areas like segmentation, vision-language models, and general-purpose CV models

Push the boundaries of what’s possible in vision through rapid experimentation and creative modeling approaches

Maintain high standards for reproducibility, experimentation, and code quality in all research outputs

Develop models that outperform existing state-of-the-art tools used by thousands of real users in production environments

Contribute to open source and help shape the future of Roboflow’s research direction alongside a scrappy, inventive team

Qualification

PyTorchComputer visionObject detectionInstance segmentationYOLOVLMsCollaborative researchInnovative thinkerIndependent

Required

3–4+ years of hands-on ML research experience; PhD preferred but not required if equivalent industry 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

Comes up with new ideas and pushes the boundary of what's possible in vision

Balances academic rigor with practical usability; enjoys collaborating with engineers

You thrive in ambiguous environments (like fast-paced startups), seek out hard problems, and care about delivering real-world results

Benefits

$4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers

$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 Tools Budget to leverage latest LLM technologies to maximize your efficiency

Cover up to 100% of your health insurance costs for you and your partner or family

Remote first/flexible schedule allowing you to work collaboratively with other team members and asynchronously

Unlimited PTO- with an annual 2 week minimum, we encourage you to take time off for yourself

12 weeks parental leave