Autonomous Robotics AI Research Intern

ATOMS

San Francisco (CA)

Sur place

USD 80 000 - 113 000

Plein temps

Il y a 2 jours
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Résumé du poste

ATOMS is seeking an AI Research Intern to join the founding team and bridge high-level AI research with real-world actuation for autonomous transport platforms. You will contribute to core research in Perception, World Models, and Action models, translating breakthroughs into scalable deployments on physical systems.

You will prototype and evaluate RL, trajectory planning, and distillation algorithms, train multimodal models mapping sensor data to vehicle actuation, and analyze edge cases to

Qualifications

  • Currently enrolled in a Bachelor's or Master's degree in Computer Science, EECS, Robotics, AI, or related field.
  • Coursework or research in vision-language-action (VLA) or embodied AI.
  • Experience with RL, trajectory optimization, or decision-making systems.
  • Experience with large-scale multimodal transformers in robotics or spatio-temporal data.

Responsabilités

  • Integrate new AI research into internal model pipelines and validate on real-world data and simulations.
  • Prototype and evaluate RL, trajectory planning, and distillation algorithms from literature.
  • Train and fine-tune multimodal models mapping sensor inputs to vehicle actuation.
  • Experiment with world-model architectures to improve simulation fidelity.
  • Analyze edge cases and failure modes in new driving environments.
  • Run simulation experiments with research and validation teams to identify bottlenecks and improvements.

Connaissances

PyTorch
JAX
Python
C++
RL
Transformers
Robotics

Formation

Bachelors/Masters in CS/EECS/AI
Relevant internships/research

Outils

ROS
NumPy

Description du poste

ATOMS is seeking an AI Research Intern to join the founding team and bridge high-level AI research with real-world actuation for autonomous transport platforms. You will contribute to core research in Perception, World Models, and Action models, translating breakthroughs into scalable deployments on physical systems.

You will prototype and evaluate RL, trajectory planning, and distillation algorithms, train multimodal models mapping sensor data to vehicle actuation, and analyze edge cases to

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