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XPENG · 1 month ago

Research Scientist Intern

Santa Clara, CA

Internship

Onsite

Intern

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. They are seeking a Research Scientist Intern to drive the modeling and algorithmic development of their next-generation Vision-Language-Action Foundation Model, working closely with researchers and engineers to design, train, and deploy large-scale multi-modal models.

AutomotiveAutonomous VehiclesElectric VehicleManufacturing

Responsibilities

Conduct research on designing and implementing large-scale multi-modal architectures (e.g., vision–language–action transformers) for end-to-end autonomous driving

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

Closely collaborate with researchers and engineers across the modeling and infrastructure team

Contribute to top-tier AI/CV/ML conferences publications and present research findings

Qualification

Multi-modal modelingPyTorchReinforcement learningTransformer-based model designRepresentation learningTemporal modelingResearch publicationCollaboration skills

Required

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

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

Comprehensive benefits, meals, and team-building activities.

Snacks, lunches, dinners, and fun activities.

Company

XPENG

Glassdoor2.8

XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers.

Founded in 2014