Research Scientist

Job description

Job responsibilities

• Design datasets, evaluations, and RL environments that target measurable gaps in frontier vision-language, multi-modal, robotics, and coding models
• Run structured failure analyses on partner labs' models against Roboflow's real-world task distribution and write the remediation specs that say what data will close each gap
• Own the research behind new benchmarks that we publish.
• Validate data quality empirically — fine-tune, ablate, and measure so that every dataset we sell comes with evidence it works
• Contribute to Roboflow's open models (RF-DETR and successors) and represent Labs within the research community
• Work directly with research scientists at frontier labs as a technical peer, translating their model roadmaps into concrete data programs

Job requirements

• PhD or equivalent research experience in computer vision, multi-modal learning, machine learning, or a closely related field, with a track record of published work or shipped research
• Hands-on experience with post-training: fine-tuning, RL, evaluation design, or data curation for large models
• Strong engineering fundamentals — you write the code for your own experiments and can hand it to an engineer to productionize
• Clear written communication; you can explain a failure mode to a lab researcher and a data spec to an annotator
• Nice to have: experience at a frontier lab or as a data/evaluation partner to one; experience with vision-language models, robotics learning, or agentic coding evaluations