INTERNSHIP DETAILS
Research Scientist Intern
CompanyXPENG
LocationSanta Clara
Work ModeOn Site
PostedFebruary 4, 2026

Internship Information
Core Responsibilities
Conduct research on designing and implementing large-scale multi-modal architectures for autonomous driving. Collaborate with researchers and engineers to improve model interpretability and action quality.
Internship Type
full time
Company Size
2180
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
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. Its mission is to drive Smart EV transformation with technology and data, shaping the mobility experience of the future. In order to optimize its customers’ mobility experience, XPeng develops in-house its full-stack advanced driver-assistance system technology and in-car intelligent operating system, as well as core vehicle systems including powertrain and the electrical/electronic architecture. XPeng is headquartered in Guangzhou, China. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm.The Company’s Smart EVs are mainly manufactured at its plant in Zhaoqing and Guangzhou,Guangdong province.
For more information, please visit https://heyxpeng.com.
About the Role
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<div class="ace-line ace-line old-record-id-GonUdOmdKoWPaDxeOFrcyALxnTc"><strong>XPENG</strong> is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.</div>
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<h4 class="heading-4 ace-line old-record-id-NX3LdgnbaoosVGxS1gmc4kaNnyd"><strong>About the Role</strong></h4>
<div class="ace-line ace-line old-record-id-EvbPds3CGo06KFxvuywci7DKnJg">We are actively seeking a full-time <strong>Research Scientist Intern</strong> to drive the modeling and algorithmic development of XPENG’s next-generation <strong>Vision-Language-Action (VLA) Foundation Model</strong> — the core brain that powers our end-to-end autonomous driving systems.</div>
<div class="ace-line ace-line old-record-id-EvbPds3CGo06KFxvuywci7DKnJg"> </div>
<div class="ace-line ace-line old-record-id-NnWgdedBeo4bylxcOoZcTW0snuN">You will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. Your work will directly shape the intelligence that enables XPENG’s future L3/L4 autonomous driving products.</div>
<h4 class="heading-4 ace-line old-record-id-APAAdolhYoV05GxAnPccxMlxnGh"><strong>Key Responsibilities</strong></h4>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-PztBdaWpZoxxaoxLlW5c3891ndX" data-list="bullet">
<div>Conduct research on designing and implementing <strong>large-scale multi-modal architectures</strong> (e.g., vision–language–action transformers) for end-to-end autonomous driving.</div>
</li>
<li class="ace-line ace-line old-record-id-FFvgdwAgGoCnuLxps3IcsKyGn5d" data-list="bullet">
<div>Design and integrate <strong>cross-modal alignment</strong> (e.g., visual grounding, temporal reasoning, policy distillation, imitation and reinforcement learning) to improve model interpretability and action quality.</div>
</li>
<li class="ace-line ace-line old-record-id-CGNfdcbnpoa9zNxHgnpcWPjtnxb" data-list="bullet">
<div>Closely collaborate with researchers and engineers across the modeling and infrastructure team.</div>
</li>
<li class="ace-line ace-line old-record-id-UvBvd9tzUoOfCLxDINgcwweKnRh" data-list="bullet">
<div>Contribute to top-tier AI/CV/ML conferences publications and present research findings.</div>
</li>
</ul>
<h4 class="heading-4 ace-line old-record-id-BhLUdS48ooLKdexuYZxcPwStnKg"><strong>Minimum Qualifications</strong></h4>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-IESUd2o6coCezYxljFzc4GE6ndf" data-list="bullet">
<div>Currently enrolled in the Master/Ph.D program in <strong>Computer Science, Electrical/Computer Engineering, or related field</strong>, with<strong> </strong>the specialization in the CV/NLP/ML.</div>
</li>
<li class="ace-line ace-line old-record-id-Sp81d3k2UonmjixJlKwcldE5nGg" data-list="bullet">
<div>Experience in <strong>multi-modal modeling</strong> (vision, language, or planning), with deep understanding of <strong>representation learning, temporal modeling</strong>, and <strong>reinforcement learning</strong> techniques.</div>
</li>
<li class="ace-line ace-line old-record-id-Us2rdvlAhoH29qxLFotcvMYqn9c" data-list="bullet">
<div>Strong proficiency in <strong>PyTorch</strong> and modern transformer-based model design.</div>
</li>
</ul>
<h4 class="heading-4 ace-line old-record-id-ITrBdRCIroOdP2xTeigcri0mnGe"><strong>Preferred Qualifications</strong></h4>
<ul class="list-bullet1">
<li class="ace-line ace-line old-record-id-IJikdtrNRoIfnlxixlscRFZmnmc" data-list="bullet">
<div>Publication record in top-tier AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc).</div>
</li>
<li class="ace-line ace-line old-record-id-UrXUdS5Koota0NxreUKciK1fnRd" data-list="bullet">
<div>Prior experience building <strong>foundation or end-to-end driving models</strong>, or <strong>LLM</strong><strong>/VLM architectures</strong> (e.g., ViT, Flamingo, BEVFormer, RT-2, or GRPO-style policies).</div>
</li>
<li class="ace-line ace-line old-record-id-RXBLddfjrotVyNx0MQVc9cpNnNf" data-list="bullet">
<div>Knowledge of <strong>RLHF/DPO/GRPO</strong>, <strong>trajectory prediction</strong>, or <strong>policy learning</strong> for control tasks.</div>
</li>
<li class="ace-line ace-line old-record-id-T4mwdNnyoo5gEHxuDqnc1efVnnf" data-list="bullet">
<div>Familiarity with <strong>distributed training</strong> (DDP, FSDP) and large-batch optimization.</div>
</li>
</ul>
<h4 class="heading-4 ace-line old-record-id-AfK2dgFEMo3bM6xW8uJcNmbMnnd"><strong>What We Offer</strong></h4>
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<li class="ace-line ace-line old-record-id-EdFAd21h2oLE9yxcBf3cdr8dnEh" data-list="bullet">
<div>A collaborative, research-driven environment with access to <strong>massive real-world data</strong> and <strong>industry-scale compute</strong>.</div>
</li>
<li class="ace-line ace-line old-record-id-Jiy5dpF1TorYLZxA2qDcbsN0nCb" data-list="bullet">
<div>Opportunity to work with <strong>top-tier researchers and engineers</strong> advancing the frontier of foundation models for autonomous driving.</div>
</li>
<li class="ace-line ace-line old-record-id-QMIKdraoXotpaux2025cWcmSn3g" data-list="bullet">
<div>Direct impact on the next generation of <strong>intelligent mobility systems</strong>.</div>
</li>
<li class="ace-line ace-line old-record-id-RPVEdKrvCoK3sTx0JuycQWn1nlh" data-list="bullet">
<div>Comprehensive benefits, meals, and team-building activities.</div>
</li>
</ul>
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<div class="ace-line ace-line old-record-id-ExDodVceNonouCxJFFAcjryTnVh"><strong>What do we provide:</strong></div>
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<li class="ace-line ace-line old-record-id-FRKcdsexnoXrvcxUxfZcGQQZnQc" data-list="bullet">
<div>A fun, supportive and engaging environment</div>
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<li class="ace-line ace-line old-record-id-DWcRdmluHof4vuxTWYQcS3gxn3c" data-list="bullet">
<div>Infrastructures and computational resources to support your work.</div>
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<li class="ace-line ace-line old-record-id-DD3zd1rJ5oF3oJxu5fvc3Lx7nsg" data-list="bullet">
<div>Opportunity to work on cutting edge technologies with the top talents in the field.</div>
</li>
<li class="ace-line ace-line old-record-id-Tmabd2QKloWZEWxa8sbcMS9onkg" data-list="bullet">
<div>Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving</div>
</li>
<li class="ace-line ace-line old-record-id-OuLAdFrQPoJ76UxdOkgcfnponSf" data-list="bullet">
<div>Competitive compensation package</div>
</li>
<li class="ace-line ace-line old-record-id-YVM7duy6eowfGsx4pIKcX5DlnTg" data-list="bullet">
<div>Snacks, lunches, dinners, and fun activities</div>
</li>
</ul>
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<div class="ace-line ace-line old-record-id-QVuHdEbaPoIdCXxnPZycBc0gnBd">We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.</div>
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Key Skills
Multi-Modal ModelingRepresentation LearningTemporal ModelingReinforcement LearningPyTorchTransformer-Based Model DesignVisual GroundingTemporal ReasoningPolicy DistillationImitation LearningCollaborationResearch PublicationDistributed TrainingLarge-Batch Optimization
Categories
TechnologyScience & ResearchEngineering
Benefits
Comprehensive BenefitsMealsTeam-Building Activities
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