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RoboflowRoboflowNew York, NY

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.

168k – 255k/yr
RemoteML Engineering

About the role

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

PythonPyTorchComputer VisionMachine LearningAIEdge Hardware OptimizationDistributed Training

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