ML Research Intern — 3D Scene Rendering (Onsite)

Rivian Automotive; Palo Alto (CA); Presencial; USD 45.000 - 70.000; A tiempo parcial

Descripción de la vacante

Rivian is seeking a Machine Learning Research Intern on the Autonomy team in Palo Alto. You will advance neural scene reconstruction and world modeling, turning real-world driving data into high-fidelity 3D environments.

You must be enrolled as an undergraduate or graduate student during the internship term, with an expected graduation date between December 2027 and 2029. The role involves full-time, onsite work for the Spring Co-Op program (Jan–Aug 2027).

Formación

• Must be currently pursuing a PhD degree at an accredited university.
• Actively pursuing a degree or one closely related in computer science, electrical engineering, statistics, or a closely related quantitative field.
• Research background in 3D scene reconstruction, neural rendering / novel view synthesis, depth or geometry estimation, 3D scene understanding, or generative modeling.
• Track record of first-author publications at top-tier ML/CV conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, CoRL, RSS).
• Strong proficiency in Python and a modern deep learning framework (PyTorch preferred), with ability to implement, train, and debug models independently.
• Solid foundation in the mathematics underlying 3D vision: multi-view geometry, camera models, coordinate transforms, and 3D representations (point clouds, meshes, voxels, implicit fields).
• Experience applying 3D reconstruction, neural rendering, or world modeling to autonomous driving, robotics, or other embodied domains.
• Experience with large-scale distributed training and multi-GPU/multi-node workflows.
• Familiarity with simulation, sensor simulation, or synthetic data generation for training and evaluating ML systems.
• Experience working with large multi-sensor datasets and calibration, synchronization, and data-quality challenges.
• Open-source contributions, released research code, or a strong public portfolio of 3D ML work.

Responsabilidades

• Research, prototype, and train 3D ML models for scene reconstruction from multi-sensor driving data.
• Explore neural radiance fields, 3D Gaussian splatting, deep reconstruction, depth/geometry estimation, and diffusion-based scene synthesis.
• Design evaluation methodology for reconstruction and rendering quality using photometric and geometric metrics.
• Scale training and inference pipelines to large real-world datasets with distributed, multi-GPU infrastructure.
• Collaborate with perception, simulation, and infrastructure teams to integrate prototypes into our internal research platform.
• Present results, contribute to internal documentation, and deliver a final summary of your research contribution.

Conocimientos

Python

PyTorch

3D ML

Neural rendering

Distributed training

Research literacy

Autonomous driving knowledge

Educación

PhD candidate in CS/EE/related

Descripción del empleo

Rivian is seeking a Machine Learning Research Intern on the Autonomy team in Palo Alto. You will advance neural scene reconstruction and world modeling, turning real-world driving data into high-fidelity 3D environments.

You must be enrolled as an undergraduate or graduate student during the internship term, with an expected graduation date between December 2027 and 2029. The role involves full-time, onsite work for the Spring Co-Op program (Jan–Aug 2027).