Applied Science Internship Undergrad Student Science Recruiting, Frontier

Internship Overview

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 harness 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 will work alongside world‑renowned experts, gaining invaluable hands‑on experience with cutting‑edge robotics technologies and diving deep into exciting research projects at the intersection of AI and robotics.

This internship is not just about executing tasks – it is about being a driving force behind groundbreaking discoveries. You will collaborate with cross‑functional teams, leveraging your expertise in deep learning, reinforcement learning, computer vision, and motion planning to tackle real‑world problems and deliver impactful solutions.

Throughout your journey, you will have access to state‑of‑the‑art computing infrastructure, cutting‑edge research papers, and mentorship from industry luminaries. This immersive experience will sharpen your technical skills and 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, shaping the future of intelligent systems and propelling humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.

Positions available in San Francisco, CA.

• 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, focusing on robotic perception, manipulation, and control.
• Collaborate with cross‑functional teams to solve complex business problems, leveraging expertise in 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.

• Enrolled in a Bachelor’s degree or above.
• 18 years of age or older.
• Commit to 40 hours/week and a maximum of 12‑week internship.
• Ability to relocate to the internship location.
• Experience programming in Java, C++, Python, or a related language.

• 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 multimodal LLMs, world models, image/video tokenization, real2
  
  Sim/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 and experience with PyTorch or JAX.
• Excellent problem‑solving skills, attention to detail, and ability to work collaboratively in a team.

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, which include the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.

Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

USA, CA, San Francisco –  –  USD annually

Starting Day 1 of employment, Amazon offers Employee Assistance Program, Mental Health Support, Medical Advice Line, and 401(k) matching. Learn more about our benefits at

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.