Machine Learning Engineer - Deployments Team

Roboflow(1 month ago)

HybridFull TimeSenior$174,714 - $232,833 (estimated)Engineering

About this role

A Machine Learning Engineer on the Deployments Team at Roboflow is responsible for designing and delivering advanced solutions for deploying computer vision models across various environments, including cloud and edge devices. This role involves building and optimizing key components of the Roboflow platform for reliable model deployment, collaborating with cross-functional teams, and contributing to open-source projects. The ideal candidate has over 5 years of experience in deploying production-grade ML systems, a deep understanding of core ML technologies, and a strong background in computer science and system design.

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Required Skills

Machine Learning
Model Deployment
Computer Vision
Cloud Infrastructure
Distributed Systems
Scalable Systems
System Design
ML Technologies
PyTorch
TensorFlow

+18 more

About Roboflow

roboflow.com

Roboflow is a platform that empowers developers and enterprises to build and deploy computer vision applications efficiently. They provide a comprehensive suite of tools for tasks ranging from image annotation to model training and deployment, allowing users to harness AI technology seamlessly. With a focus on accessibility, Roboflow supports over a million engineers globally, offering solutions suitable for a variety of industries, including automotive, healthcare, and retail. Their offerings emphasize high performance, scalability, and robust infrastructure, making it easier to integrate AI into diverse workflows.