Lead Systems Engineering Value Stream and manage a team of systems engineers at Northrop Grumman. Drive value stream integration for major defense systems development milestones.
About the role
- 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
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