2026 Applied Science Internship - United States, Undergrad Student Science Recruiting, Frontier[...]

Amazon; San Francisco (CA); On-site; USD 178,257,000 - 293,160,000; Full time

Job summary

Amazon in San Francisco is seeking an Applied Science Intern to join a world‑class robotics and AI team. You will explore cutting‑edge research at the junction of large language models and robotics, collaborating with leading experts to push the frontiers of intelligent systems.

The ideal candidate is pursuing a Bachelor's degree or higher, willing to relocate, and proficient in Python (PyTorch/JAX). Strong research credentials and publication experience are a plus, with a full‑time internship

Qualifications

• Enrolled in a Bachelor's degree or higher.
• Relocate to internship location.
• Experience programming in Java, C++, Python or related language.
• Eligible for full-time (40 hours/week) internship for the whole duration.
• Publications at top-tier conferences are a plus.
• Experience designing experiments and statistical analysis of results.

Responsibilities

• Develop novel, scalable algorithms and modeling techniques at the intersection of LLMs and generative AI for robotics.
• Tackle challenging research problems on production-scale data in robotic perception, manipulation and control.
• Collaborate with cross-functional teams applying deep learning, reinforcement learning, CV, and motion planning.
• Demonstrate independence and strong communication with diverse stakeholders.

Skills

Machine learning

Deep learning

Robotics

Publications

Python

PyTorch

JAX

Education

Bachelor's degree or above

Tools

Java

C++

Python

Related language

Job description

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.

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

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

Basic Qualifications

• Are enrolled in a Bachelor's degree or above
• Can relocate to where the internship is based
• Experience programming in Java, C++, Python or related language
• Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship/co-op

Preferred Qualifications

• Have publications at top-tier peer-reviewed conferences or journals
• Experience in designing experiments and statistical analysis of results

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow 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. These include the duties and responsibilities listed above, as well as 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $62.21/hr in our lowest geographic market up to $102.31/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company

- Amazon.com Services LLC

Job ID: A3131316