- BS or above in Computer Science, Software Engineering, Data Science, or a related field
- 5+ years of industry experience building ML infrastructure at scale
- 2+ years of experience in developing and deploying large-scale systems, version control, scaling and monitoring
- Highly skilledExperience in Machine Learning frameworks (Tensorflow, Pytorch), big data frameworks (Spark/Hadoop/Flink)
- Experience task scheduling for large-scale distributed systems
- Proficient in Python/SQL and of C++/Go
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Machine Learning Architect, Firefly
1 week ago
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Machine Learning Performance Architect
2 days ago
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PubMatic Redwood City, United StatesPubMatic is immediately hiring a Sr. Principal Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule. · Reporting to the SVP of Addressability & Marketplace, this senior contributor is a proven 'doer' to develop, implement and extend data-intens ...
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Salesperson
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Software Engineering – Kubernetes Platform
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GPU Modeling Engineer
1 week ago
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Senior Machine Learning Engineer
6 days ago
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Cloud Sales Specialist
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Sr Data Science Engineer
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Staff Software Backend Developer
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Senior Software Engineer AI Platforms
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AMD San Jose, United States Full time· WHAT YOU DO AT AMD CHANGES EVERYTHING · We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for th ...
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Principal Engineer
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Sr ML Training GPU Optimization Engineer
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Enterprise Architect
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Mechatronics Architect
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Machine Learning Architect - San Jose, United States - Glocomms
Description
My client is seeking an ML Architect to enhance model training pipelines, optimize inferencing performance, and collaborate on data pipelines This is a new team that they are building out and are actively hiring for Responsibilities include continuous integration, tracking for data and model performance, and maintaining scalable infrastructure in cloud environments. Ideal candidates will have expertise in ML frameworks, cloud infrastructure, and strong communication skills for team collaboration.
Qualifications:
**This is fully on site and will require you to be based in (or open to relocate to) the Bay Area**