2026 Summer Intern – PhD – Research Engineering Intern, Generative Simulation Validation

📋 Description

• Develop transformer-based generative models to learn driving grammar.
• Define evaluation metrics using conformal prediction for safety envelopes.
• Benchmark traditional geometric vs ML-based methods to reduce false fails.
• Collaborate with Behaviors, Simulation, System Eng, and Research on probabilistic safety.

🎯 Requirements

• Currently a PhD candidate in CS, Robotics, ML, Statistics, or related field.
• Strong foundation in scientific and statistical methodologies.
• ML/DL expertise; sequence modeling (Transformers, self-attention, and cross-attention) on time-series/trajectory data.
• Hands-on experience with generative AI paradigms (motion as next-token prediction or diffusion models).
• Strong probabilistic ML and uncertainty quantification for rare but safe vs OOD failures.
• Python and PyTorch or TensorFlow software engineering skills.

🎁 Benefits

• People-first culture and diverse, inclusive environment.
• Work on cutting-edge autonomous vehicle technology.
• Collaborate with world-class researchers and engineers.
• Boston-based internship with in-office days.