
Machine Learning Engineer - Inference Maintainer & Developer Experience
About this role
The Machine Learning Engineer - Inference Maintainer & Developer Experience at Roboflow is an impactful role based in San Francisco, New York, or fully remote within the United States. This position is ideal for an experienced machine learning practitioner who wants to own the stewardship of a major open-source inference engine while scaling developer experience and automation pipelines.
Role Overview
Roboflow is seeking a dedicated engineer to act as the primary steward for its flagship open-source and commercial inference engine. As the volume of contributions scales rapidly—increasingly assisted by AI coding agents—this position focuses on evolving automated and semi-automated review, triage, CI/CD, and end-to-end testing pipelines. The goal is to transition the project from weekly releases to routine daily deployments without ever compromising software quality or architectural rigor.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Roboflow simplifies building and using computer vision models, empowering over a million developers and organizations across the globe to bring artificial intelligence to real-world use cases. Backed by leading investors including Google Ventures and Y Combinator, the company prides itself on a culture defined by high autonomy, giant brains, and tiny egos.
How to Apply
To apply for this position, please visit the official Roboflow careers page and submit your application materials.
Skills and tech stack
Questions candidates ask
What is the location for this role?
This position can be based out of hubs in New York City or San Francisco, or worked remotely from anywhere in the United States.
What is the salary range for the Machine Learning Engineer position?
The salary ranges from $155,000 to $180,000 per year, dependent on experience and location, with potential to exceed this range for exceptional talent.
What level of experience is required?
Candidates must have 5+ years of hands-on experience building and operating production-grade machine learning systems.
What are the primary technical tools used in this role?
The role involves working with PyTorch, TensorFlow, ONNX, TensorRT, vLLM, OpenCV, DeepStream, and various CI/CD and AI agent automation tools.
What perks and benefits are provided?
Benefits include a $4,000 annual travel stipend, $350 monthly productivity stipend, $350 monthly AI tools stipend, full health insurance coverage, unlimited PTO with a two-week minimum, parental leave, and company equity.