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Machine Learning Engineer, Framework (Planning) - SPG

Machine Learning Engineer, Framework (Planning) - SPG

Santa Clara Valley (Cupertino),California,United States

Machine Learning and AI

+ Strong programming background, with extensive experiences in Python. Experience with C++ is a plus.

+ Background in building distributed systems, data pipelines, working with various cloud technologies.

+ Experience with developing large scale machine learning, reinforcement learning infrastructure is a plus.

+ Previous experience in developing production DL models and familiarity with common DL frameworks is a plus.

+ A strong desire to learn new things and to become an expert at what you do.

**Description**

• Develop highly scalable, efficient, and flexible machine learning frameworks that can perform supervised/reinforcement learning on a massive scale. • Address short-comings and develop new features in our framework by directly working with and contributing to multiple production ML projects. • Build tools, pipelines or workflows to help facilitate the analysis, evaluation and the eventual deployment of highly complex ML models. • Build tools, pipelines and frameworks to efficiently scale ground truth data for various machine learning applications from real world data.

**Education & Experience**

Bachelors, Masters, or PhD Degree in Computer Science or equivalent professional experience.

**Additional Requirements**

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Machine Learning Engineer, Framework (Planning) - SPG

Full time
Cupertino, CA

Published on 11/14/2022

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