Research Scientist Intern

Role overview

Responsibilities

• check_circle Conduct research on designing and implementing large-scale multi-modal architectures (e.g., vision–language–action transformers) for end-to-end autonomous driving.
• check_circle Design and integrate cross-modal alignment (e.g., visual grounding, temporal reasoning, policy distillation, imitation and reinforcement learning) to improve model interpretability and action quality.
• check_circle Closely collaborate with researchers and engineers across the modeling and infrastructure team.
• check_circle Contribute to top-tier AI/CV/ML conferences publications and present research findings.

Basic qualifications

• Currently enrolled in the Master/Ph.D program in Computer Science, Electrical/Computer Engineering, or related field , with the specialization in the CV/NLP/ML.
• Experience in multi-modal modeling (vision, language, or planning), with deep understanding of representation learning, temporal modeling , and reinforcement learning techniques.
• Strong proficiency in PyTorch and modern transformer-based model design.

Preferred qualifications

• Publication record in top-tier AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc).
• Prior experience building foundation or end-to-end driving models , or LLM/VLM architectures (e.g., ViT, Flamingo, BEVFormer, RT-2, or GRPO-style policies).
• Knowledge of RLHF/DPO/GRPO , trajectory prediction , or policy learning for control tasks.
• Familiarity with distributed training (DDP, FSDP) and large-batch optimization.

Benefits

• check_circle A collaborative, research-driven environment with access to massive real-world data and industry-scale compute .
• check_circle Opportunity to work with top-tier researchers and engineers advancing the frontier of foundation models for autonomous driving.
• check_circle Direct impact on the next generation of intelligent mobility systems .
• check_circle Comprehensive benefits, meals, and team-building activities.
• check_circle A fun, supportive and engaging environment
• check_circle Infrastructures and computational resources to support your work.
• check_circle Opportunity to work on cutting edge technologies with the top talents in the field.
• check_circle Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
• check_circle Competitive compensation package
• check_circle Snacks, lunches, dinners, and fun activities