4 days ago
Palo Alto, CA, USAIntern
H1B sponsor
Responsibilities
- Research, prototype, train, and debug 3D machine learning models for scene reconstruction, novel view synthesis, and neural rendering from multi-sensor driving data.
- Investigate neural radiance fields, 3D Gaussian splatting, feed-forward reconstruction, depth and geometry estimation, and generative or diffusion-based scene synthesis.
- Design quantitative and qualitative evaluation methods using photometric, geometric, and downstream task-driven metrics.
- Scale training and inference pipelines across large datasets using distributed, multi-GPU infrastructure.
- Collaborate with perception, simulation, and infrastructure teams to integrate research prototypes into Rivian’s internal research platform.
- Present research results, contribute to technical documentation, and deliver a final presentation.
Requirements
- Must be currently pursuing a PhD at an accredited university in computer science, electrical engineering, statistics, or a closely related quantitative field.
- Research experience in 3D scene reconstruction, neural rendering or novel view synthesis, depth or geometry estimation, 3D scene understanding, or generative modeling.
- First-author publications at top-tier machine learning or computer vision conferences or journals such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, CoRL, or RSS.
- Strong proficiency in Python and a modern deep learning framework, preferably PyTorch, with the ability to independently implement, train, and debug models.
- Strong foundation in multi-view geometry, camera models, coordinate transforms, and 3D representations including point clouds, meshes, voxels, and 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 or multi-node workflows.
- Familiarity with simulation, sensor simulation, or synthetic data generation for machine learning systems.
- Experience with large multi-sensor datasets and their calibration, synchronization, and data-quality challenges.
- Open-source contributions, released research code, or a strong public portfolio of 3D machine learning work.
- Must be enrolled as an undergraduate or graduate student during the internship term with an expected graduation date between December 2027 and 2029.
Benefits
- Paid vacation, paid sick leave, and medical insurance benefits.
- Spring 2027 co-op runs from January through August 2027.
- Full-time, 40-hour-per-week, onsite work is required for the entire co-op term.
Categories
ML EngineeringRobotics
About Rivian
Rivian designs and manufactures electric vehicles, including the R1T pickup, R1S SUV, and commercial delivery vans, selling directly to consumers and fleet operators. Founded in 2009 and headquartered in Irvine, California, it operates a manufacturing plant in Normal, Illinois, and is publicly traded on NASDAQ. The company also develops in-vehicle software and electrical architecture and offers charging and service support for its owners.