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.
• 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.
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