Machine Learning Research Engineer

Roboflow, Inc.; San Francisco (CA); On-site; USD 168,000 - 255,000; Full time

Benefits offered by this job

$4000/yr Travel Stipend

Cover up to 100% of health insurance

$350/mo Productivity stipend

$500 one time home office stipend

Unlimited PTO

Equity in the company

Job summary

Roboflow, Inc. is seeking a Machine Learning Research Engineer to develop innovative machine learning methods. You will leverage insights from a large user base to contribute to the research team, preparing methods for production. The position offers a target compensation of $168,000 - $255,000 base salary, generous perks like a $4000 annual travel stipend, health insurance coverage, and unlimited PTO. Join us to impact diverse industries with cutting-edge computer vision tools.

Qualifications

• Experienced in machine learning research.
• History of publication at top conferences.
• Pragmatic approach to utility in practice.

Responsibilities

• Develop novel machine learning methods.
• Contribute to the research agenda.
• Translate research methods into production systems.

Skills

Proficient in Python

Passionate about computer vision

Values scientific rigour

Education

Masters/PhD in AI, machine learning, or similar

Tools

PyTorch

Job description

Who We Are

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.

What You’ll Do

As a Machine Learning Research Engineer, you will develop novel machine learning methods and contribute to the research agenda of the team. Because of Roboflow’s huge userbase, we have a unique visibility into how people are using computer vision in the real world, including in what circumstances existing methods are unable to solve user problems.

Our Research Team’s mission is to introduce novel methods that generalize as well as possible across our user base. This includes methods that learn well on diverse data, run efficiently on different hardware targets, and solve unique categories of problems. You will help identify areas for innovation, create novel approaches, and write papers aimed at top conferences. Additionally, you will help translate research methods into production systems running at scale.

Who You Are

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

Roboflow’s team is distributed across the world. We currently have Hubs in New York City, San Francisco, and Brazil (and plan to open more as we grow density in new cities). We provide opportunities (like team onsites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you’d like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

What You’ll Receive

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

Equal Opportunity Employer

At Roboflow, we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.