Autonomous Systems AI/ML Research Intern

Atoms

San Francisco (CA)

Vor Ort

USD 80.000 - 113.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Atoms invites PhD students to join as a visionary AI/ML Research Intern in Mountain View or San Francisco. Bridge high-level research with real-world autonomous transport platforms, contributing to World Models and Vision-Language-Action, translating breakthroughs into scalable deployments.

You will work on RL and distillation for trajectory planning, prototype end-to-end multimodal models, and collaborate across validation teams to run simulated experiments.

Qualifikationen

  • PhD candidate in CS/EECS/Robotics/ML or closely related field.
  • Publications in top ML/robotics venues preferred.
  • Strong background in RL, multimodal models, and embodied AI.

Aufgaben

  • Research RL and distillation methods for trajectory planning.
  • Prototype end-to-end multimodal models for real-time control.
  • Develop world models from multi-sensor data for re-simulation.
  • Ensure models adapt to new urban environments and edge cases.
  • Collaborate with validation teams on simulated experiments.
  • Translate research ideas into scalable, real-world deployments.

Kenntnisse

RL research
Distillation
Multimodal models
World models
Vision-Language-Action
Embodied AI
PyTorch
Python
C++

Ausbildung

PhD in Computer Science/EECS/Robotics/ML

Tools

PyTorch
JAX
DeepSpeed
Megatron-LM
Ray
PyTorch FSDP

Jobbeschreibung

Atoms invites PhD students to join as a visionary AI/ML Research Intern in Mountain View or San Francisco. Bridge high-level research with real-world autonomous transport platforms, contributing to World Models and Vision-Language-Action, translating breakthroughs into scalable deployments.

You will work on RL and distillation for trajectory planning, prototype end-to-end multimodal models, and collaborate across validation teams to run simulated experiments.

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