Roboflow

Machine Learning Engineer - Deployments Team

Roboflow

3 months ago
New York, NY
Hybrid
Full Time
Senior
1 applicant
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Roboflow
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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.

Skills

Roboflow

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.

About Roboflow

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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