2026 Summer Intern – PhD – Research Engineering Intern, Generative Simulation Validation at Motional
Ideal for a PhD candidate in Computer Science, Robotics, Machine Learning, Statistics, or a related field with a strong foundation in scientific and statistical
Work type: onsite
Location: Boston, Massachusetts, United States
Type: Full-time
Ideal for a PhD candidate in Computer Science, Robotics, Machine Learning, Statistics, or a related field with a strong foundation in scientific and statistical methodologies.
**What makes it worth a look...**
This on-site internship is at Motional in Boston, Massachusetts. You'll develop advanced models using Transformer-based Generative Models for autonomous vehicle behavior validation and create production-grade machine learning evaluation systems.
**You might be a good fit if you...**
* Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, Statistics, or a related field.
* Have expertise in Machine Learning and Deep Learning, specifically modern Sequence Modeling (Transformers, Self-Attention, Cross-Attention for time-series or trajectory data).
* Possess hands-on experience with Generative AI paradigms, such as motion as a generative next-token prediction task or using Diffusion Models.
* Have strong software engineering skills in Python and standard deep learning frameworks like PyTorch or TensorFlow.
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