2027 Summer Intern – Machine Learning Intern, Autonomous Vehicles: Software Validation (PhD)

• 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. 

• Currently enrolled & in the process of obtaining a PhD in Computer Science, Machine Learning, Engineering, or a related technical field.
• Graduating between December 2027 and August 2028. 

• Experience coding in Python, SQL, C/C++ or others. 

• 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. 

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

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