Machine Learning Research Engineer

About the role

We’re looking for a Machine Learning Research Engineer to join our team. You will develop novel machine learning methods and contribute to the research agenda of the team.

Responsibilities

• Develop novel machine learning methods and contribute to the research agenda of the team
• Identify areas for innovation, create novel approaches, and write papers aimed at top conferences
• Translate research methods into production systems running at scale

Requirements

• Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field of study, 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 (not just in theory)

Qualifications

• Preferred but not required: Previous experience with both optimizing models for edge hardware and training models on distributed infrastructure
• Expertise in PyTorch

Skills

• High agency and a bias toward action

Benefits

• $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
• Cover up to 100% of your health insurance costs for you and your partner or family
• $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 Stipend
• $500 one time home office stipend
• $150/mo Team lunch stipend
• Unlimited PTO - with an annual 2 week minimum, we encourage you to take time off for yourself
• 12 weeks parental leave
• Equity in the company so we are all invested in the future of computer vision

Pay

The target compensation for this role is $168,000 - $255,000 base. Range is based on location and level.

Schedule

Remote (US)