Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
GM
Hybrid Summer Intern – Software Engineer, Machine Learning Validation, PhD
Posted 3 months ago
About the role
- Machine Learning Validation Engineer for Autonomous Vehicle Software Validation Team. Enhancing AI/ML frameworks and tools, automating testing pipelines while collaborating with a team of engineers.
Responsibilities
- Enhance AI/ML validation frameworks and tools for autonomous vehicle software systems.
- Design and implement automated testing pipelines for sim-based and real-world validation scenarios using ML.
- Use ML experience to enhance simulated performance metrics.
- Build tools leveraging ML and stats methods to id edge cases, and failure modes in AV.
- Analyze large scale driving data to identify validation gaps and improve testing coverage.
Requirements
- Currently enrolled in a Master’s program (with at least one year completed) or in the process of obtaining a PhD in Computer Science, Machine Learning, Engineering, or a related technical field.
- Experience coding in Python, SQL, C/ C++ or others.
- Graduating between December 2026 and August 2027.
- Research and/or work experience in a relevant field, such as machine learning, simulation, AI validation, deep learning, reinforcement learning, data mining, or computer vision.
- Intent to return to degree -program after the completion of the internship.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers.
- Experience in systems software or algorithms.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences.
- Demonstrated creativity and quick problem solving capabilities.
- Experience with Hadoop/ Hbase /Pig or Mapreduce /Sawzall/Bigtable.
Benefits
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events to network with company leaders and peers
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