Applied AI & Robotics Research Intern

Amazon

San Francisco (CA)

Vor Ort

USD 127.000 - 172.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Amazon is seeking an Applied Science Intern in San Francisco, CA to collaborate with world‑renowned researchers, work on AI and robotics, and contribute to cutting‑edge projects at the intersection of language models and robotics. You will develop scalable algorithms, tackle production-scale data, and communicate findings across cross-functional teams, under mentorship from industry leaders.

Candidates should be enrolled in a Bachelor's or higher, be able to relocate, and have experience in

Qualifikationen

  • Are enrolled in a Bachelor's degree or above.
  • Must be eligible for full-time (40 hours per week) internship for the whole duration.
  • Experience programming in Python, and where applicable, C++ or JAX.
  • Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions.

Aufgaben

  • Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in 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 problems and communicate research findings clearly.
  • Demonstrate the ability to work independently and thrive in a fast-paced, changing environment.

Kenntnisse

Machine learning
Deep learning
Robotics
Python
PyTorch
JAX

Ausbildung

Bachelor's degree or higher

Tools

PyTorch
JAX
MuJoCo
Isaac Sim

Jobbeschreibung

Amazon is seeking an Applied Science Intern in San Francisco, CA to collaborate with world‑renowned researchers, work on AI and robotics, and contribute to cutting‑edge projects at the intersection of language models and robotics. You will develop scalable algorithms, tackle production-scale data, and communicate findings across cross-functional teams, under mentorship from industry leaders.

Candidates should be enrolled in a Bachelor's or higher, be able to relocate, and have experience in

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