Machine Learning Engineer

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.

Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

Roboflowers love building great things with passionate teammates. We value ownership, accountability, and a bias toward action—whether it's a big initiative or a small fix. You’re naturally curious, hands-on with new tech (maybe even played with ChatGPT or AI products early on), and prefer to show your work over talking about it. Many of us have founder mindsets and thrive in Roboflow’s high-autonomy environment—some even started as side hustlers in school.

As a Machine Learning Engineer at Roboflow, you’ll focus on making cutting-edge vision models production-ready. This is an execution-focused engineering role—not a research position. You'll work across our training and inference stack to deploy scalable, high-performance machine learning services that power real-world applications for thousands of developers. You’ll collaborate closely with product, infrastructure, and research teams to integrate new model capabilities, optimize inference performance, and ensure robust, maintainable systems. Your work will be critical to helping users take advantage of the latest advances in computer vision.

In this role, you will:

• Optimize and deploy production ML models for performance and scalability using tools like TensorRT and PyTorch

• Build, maintain, and monitor inference services for new and existing vision models

• Integrate new models into training and inference pipelines, ensuring robustness and efficiency

• Build analytics pipelines for large-scale vision data (billions of images)

• Collaborate with researchers and engineers to expose new model capabilities via APIs and UI

• Diagnose and debug full-stack issues in Python and JavaScript across ML services

• Experience: 4–5 years professional experience in Python; 3+ years in ML and production deployment of ML models

• Technical Stack: Strong hands-on skills with PyTorch, TensorRT, Python, and proficient in JavaScript

• Engineering Mindset: Writes maintainable, modular code; understands and applies engineering best practices

• Full Stack Oriented: Proficient with system architecture, NoSQL and SQL databases, Serverless

• Vision Domain: Familiar with object detection, classification, segmentation, YOLO, VLMs, and SAM

• Execution-Oriented: Cares about delivering value to real users

• Startup Ready: Experience working in startups or in high-ownership roles; comfortable with autonomy, ambiguity, and rapidly shifting priorities

Click here for more information and to see what to expect during the interview process.

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 $200,000-$275,000 base. Each full time Roboflower will receive an equity package- so we are all invested in the future of computer vision.

📈 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

• $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 Tools Budget to leverage latest LLM technologies to maximize your efficiency

• Cover up to 100% of your health insurance costs for you and your partner or family

• Remote first/flexible schedule allowing you to work collaboratively with other team members and asynchronously

• Unlimited PTO- with an annual 2 week minimum, we encourage you to take time off for yourself

• 12 weeks parental leave
  

We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, we encourage you to reach out to us at [email protected] or subscribe to our career newsletter by emailing "Subscribe" to [email protected]. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Equal Employment Opportunity

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.

Our recruiter, Sarah is a real live human and she’s looking forward to reading your application 👋