Applied Science Internship Undergrad Student Science Recruiting, Frontier

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 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'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 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, 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.

• 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, 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, Experience with PyTorch or JAX
• Excellent problem‑solving skills, attention to detail, and the ability to work collaboratively in a team

• 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 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.

• 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

• 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.

We comply with the Los Angeles County Fair Chance Ordinance and the San Francisco Fair Chance Ordinance, considering qualified applicants with arrest and conviction records.

This position is a full‑time internship (40 hours per week) and will remain posted until filled. The base pay ranges from $62.21 per hour in our lowest geographic market up to $102.31 per hour in our highest geographic market. Pay may vary depending on location and experience. Equities, sign‑on payments, and other benefits may be part of the total compensation package.

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