2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier AI & Robotics
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
This internship offers high value through advanced project opportunities in robotics, along with the potential for impactful contributions to AI integration with robotics.
- Opportunities to work on impactful robotics technologies
- Collaboration with notable researchers and engineers
- Potential for future placement at Amazon
Pros
- Advanced research opportunities at the intersection of AI and robotics.
- Collaborative work with industry experts and innovators.
- High potential for future employment with Amazon.
Cons
- High expectations may lead to a demanding work environment.
- Limited salary information provided.
- Requires advanced technical skills and significant research experience.
Who it's for
Undergraduate / Graduate • Full-time on-site
Good fit
- Students in robotics and AI disciplines looking for internships
- Individuals eager to innovate in robotics with cutting-edge technologies
- Candidates with research experience in related fields.
Not recommended for
- Those without relevant educational backgrounds.
- Individuals seeking low-stress or flexible work conditions.
- Candidates uninterested in the integration of AI and robotics.
Motivation fit
Key skills
About the job
DESCRIPTION
Are you a brilliant mind seeking to push the boundaries of what's possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation.
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics.
This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied robotics and AI, where your contributions will shape the future of intelligent systems and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available in San Francisco, CA.
The ideal candidate should possess:
- Strong background in machine learning, deep learning, and/or robotics
- Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR.
- Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models.
- Proficiency in Python, Experience with PyTorch or JAX
- Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team
Apply now and embark on an extraordinary journey of discovery and innovation!
Key job responsibilities
- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics
- Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control
- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning
- Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders
