Machine Learning Research Engineer

About the role

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We're building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow's machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety , digitizing floor plans , preserving coral reef populations , guiding drone flight , and much more . Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: "Roboflow is a company full of giant brains and tiny egos." We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond. We're supported by great customers and investors, having raised over 63 million from Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

Requirements

• You are a pragmatic, experienced machine learning researcher who wants to be an important part of an exceptional team that focuses on using Roboflow's computer vision tools to impact and improve every industry. You have high agency and a bias toward action.
• 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)
• Preferred but not required:
• Previous experience with both optimizing models for edge hardware and training models on distributed infrastructure
• Expertise in PyTorch
• Where You'll Work
• What You'll Receive
• To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.
• 💰 The target compensation for this role is $168,000 - $255,000 base. Range is based on location and level.
• 📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:
• $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
• Interview Process (~4.5 hours)
• Below is the interview process you can expect for this role. We're committed to building an exceptional team and aim to be thoughtful while also moving quickly. We respect your time and strive to make decisions efficiently, depending on scheduling and availability.
• You'll have several conversations with the hiring manager, a member of the Roboflow leadership team, and complete a role-relevant projec

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at roboflow? Share your experience