Applied Machine Learning Research Engineer

Roboflow is seeking an Applied Machine Learning Research Engineer to join their team and drive research initiatives that improve their growing suite of machine learning tools for computer vision applications. This role involves adapting and extending open-source machine learning technologies into usable and scalable software.

Key Responsibilities:

• Execute research initiatives centered around the Roboflow 100 object detection benchmark
• Implement research findings into the Roboflow application
• Work on building and maintaining technology within Roboflow's training, search, and deployment services
• Contribute to enterprise contracts and open-source projects

Required Skills:

• Familiarity with Machine Learning Research tools: PyTorch, ONNX, TensorRT, TFjs, YOLO, Transformers, COCO
• Experience with Backend + Cloud technologies: Node.js, Docker, Python, Flask, pip, REST, AWS, GCP
• 3+ years of relevant experience

The ideal candidate is a curious self-starter who wants to be part of an exceptional team, focusing on using Roboflow's computer vision tools to impact and improve every industry. The role will be split 50% on machine learning research and 50% on implementing research results into the Roboflow application.

Roboflow offers a flexible work environment with options to work from their Hubs in New York City and San Francisco, or remotely. They provide competitive compensation, including a $120,000 base salary, along with benefits such as a $4000 annual travel stipend, health insurance coverage, and equity in the company.

Join Roboflow and be part of a team that's democratizing computer vision technology and making it accessible to developers worldwide.