Intern optimizing AI training platform for autonomous driving at GM. Developing infrastructure and tools for model training and enhancing testing infrastructure.
Responsibilities
Develop scalable infrastructure and tools to support model training, regression, and rules-based models.
Suggest, collect and synthesize requirements and create effective feature roadmap.
Code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Perform specific responsibilities which vary by team.
Requirements
Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's degree in computer science or a related technical field.
Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision.
Experience in systems software or algorithms.
Experience with modern object-oriented programming languages (e.g., Java, C++, Python).
Strong communication skills with experience collaborating across cross-functional teams.
Able to work fulltime, 40 hours per week.
Benefits
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Job title
Machine Learning Systems Engineer – Autonomous Driving
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