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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