Machine Learning Engineer - Remote

Overview

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.

In Short

• 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

Requirements

• 4–5 years professional experience in Python; 3+ years in ML and production deployment of ML models
• Strong hands-on skills with PyTorch, TensorRT, Python, and proficient in JavaScript
• Writes maintainable, modular code; understands and applies engineering best practices
• Proficient with system architecture, NoSQL and SQL databases, Serverless
• Familiar with object detection, classification, segmentation, YOLO, VLMs, and SAM
• Cares about delivering value to real users
• Experience working in startups or in high-ownership roles; comfortable with autonomy, ambiguity, and rapidly shifting priorities

Benefits

• $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
• $350/mo AI Tools Budget to leverage latest LLM technologies
• Cover up to 100% of your health insurance costs for you and your partner or family
• Remote first/flexible schedule
• Unlimited PTO with an annual 2 week minimum
• 12 weeks parental leave