ML Research Intern: 3D Scene Reconstruction for Autonomy

Rivian

Palo Alto (CA)

On-site

USD 45,000 - 70,000

Full time

8 days ago

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Benefits offered by this job

Paid vacation
Paid sick leave
Medical insurance

Job summary

Rivian invites a Machine Learning Research Intern to join the Autonomy team in Palo Alto. You will advance neural scene reconstruction and world modeling that turn real-world driving data into high-fidelity, re-renderable 3D environments.

This role emphasizes research, collaboration, and impactful publications. The internship runs Spring 2027, requires full-time onsite work, and aims to push the AI stack powering Rivian’s autonomous driving systems.

Qualifications

  • Must be currently pursuing a PhD degree at an accredited university.
  • Active student enrolled in CS/EE or a closely related quantitative field.
  • Strong record of first-author publications in top ML/vision venues.

Responsibilities

  • Research, prototype, and train 3D ML models for scene reconstruction and neural rendering.
  • Design evaluation methods for reconstruction and rendering quality.
  • Scale training and inference pipelines on large multi-GPU datasets.
  • Collaborate with perception, simulation, and infrastructure teams to integrate prototypes.
  • Present results and contribute to internal technical documentation.
  • Deliver a final presentation summarizing research contributions.

Skills

Python
PyTorch
3D reconstruction
Distributed training
Multi-GPU
Open-source
Public portfolio

Education

PhD candidate
CS/EE or related field

Tools

PyTorch
Python
CUDA
Git

Job description

Rivian invites a Machine Learning Research Intern to join the Autonomy team in Palo Alto. You will advance neural scene reconstruction and world modeling that turn real-world driving data into high-fidelity, re-renderable 3D environments.

This role emphasizes research, collaboration, and impactful publications. The internship runs Spring 2027, requires full-time onsite work, and aims to push the AI stack powering Rivian’s autonomous driving systems.

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