Machine Learning Research Engineer
Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.
About the job
What You'll Do
- Develop novel machine learning methods and contribute to the research agenda of the team.
- Identify areas for innovation using insights from Roboflow's userbase in computer vision applications.
- Create novel approaches that generalize across diverse data, run efficiently on different hardware, and solve unique problems.
- Write papers aimed at top conferences (CVPR, NeurIPS, ICLR, etc.).
- Translate research methods into production systems running at scale.
Who You Are (Requirements)
- Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field, or equivalent industry experience.
- History of publication at conferences / journals (CVPR, NeurIPS, ICLR, etc.).
- Proficient in Python.
- Values scientific rigour, reproducibility, and high quality software.
- Passionate about computer vision and solving problems users value.
- Pragmatic approach to utility in practice.
Preferred
- Previous experience with both optimizing models for edge hardware and training models on distributed infrastructure.
- Expertise in PyTorch.
Compensation
- Target base salary: $168,000 - $255,000 (based on location and level).
- Additional perks: $4000/yr travel stipend, up to 100% health insurance coverage, $350/mo productivity stipend, $350/mo AI stipend, $500 home office stipend, $150/mo team lunch stipend, unlimited PTO (min 2 weeks), 12 weeks parental leave, equity.
Skills
Python, PyTorch, Computer Vision, Machine Learning, AI, Edge Hardware Optimization, Distributed Training
Similar jobs
ML Engineering jobs
Clickhouse
EMEA
Build and operate AI-driven workflows, integrations, model-routing systems, and agent infrastructure across business and engineering functions. The role also supports model evaluation, AI cost optimization, governance safeguards, and organization-wide training.
Clay
New York, NY
Build and ship production AI agents and the platform infrastructure that makes them reliable, steerable, and measurable. The role requires strong backend fundamentals, production LLM or agent experience, and expertise in evaluations, retrieval, orchestration, or tool-use design.
Clay
San Francisco, CA
Build and ship production machine-learning systems that learn from customer data and behavior, including recommendations, LLM-powered features, evaluation systems, and ML infrastructure. The role requires 5+ years of ML engineering or ML-heavy software engineering experience and strong production systems expertise.
Mirage
New York, NY
Build and deploy agentic systems that power AI-driven creative video workflows. The role requires 5+ years of experience, production ML or agentic pipeline development, context engineering, and expertise in evaluation and agent infrastructure.
Mirage
New York, NY
Build and advance agentic machine-learning systems for multimodal creative tasks, with a focus on video understanding, reasoning, control, and tool use. The role requires strong production ML or agent-pipeline experience and deep knowledge of modern LLM techniques.