About The Position

We are seeking a Sr. Staff Machine Learning Engineer to lead model pretraining efforts for our Large Driving Model, an end-to-end autonomy model that learns from large-scale, multi-sensor driving data. This role is focused on building the foundation model layer for self-driving: scaling larger models, improving pretraining objectives, understanding scaling laws, and developing the distributed training systems needed to train models across massive real-world and simulated datasets. This is an ideal role for someone excited by the intersection of large-scale ML, autonomous driving, multi-modal representation learning, and high-performance distributed training.

Requirements

  • B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.
  • 8+ years of experience building large-scale ML systems.
  • Strong experience training large neural networks with distributed training frameworks.
  • Deep understanding of transformers, representation learning, self-supervised learning, or foundation models.
  • Strong PyTorch experience, including distributed training, mixed precision, and large-scale training pipelines.
  • Strong engineering judgment and ability to lead ambiguous technical efforts from prototype to production impact.

Responsibilities

  • Lead technical strategy for pretraining large-scale autonomy foundation models.
  • Develop pretraining objectives for multi-sensor driving data, including camera, LiDAR, radar, maps, route, and vehicle-state inputs.
  • Study scaling trends across model size, data scale, compute, sensor mix, and downstream autonomy performance.
  • Build and improve distributed training workflows for large models, including FSDP, mixed precision, checkpointing, and training performance optimization.
  • Partner with perception, prediction, planning, simulation, data, and ML infrastructure teams to connect pretraining progress to real autonomy outcomes.
  • Develop evaluations that measure representation quality, downstream task performance, and closed-loop behavior.
  • Mentor engineers and provide technical leadership on model architecture, training stability, scaling, and evaluation.

Benefits

  • paid vacation
  • paid sick leave
  • life insurance
  • medical insurance
  • dental insurance
  • vision insurance
  • short-term disability insurance
  • long-term disability insurance
  • annual performance bonus
  • equity awards
  • Rivian’s 401(k) Plan
  • Employee Stock Purchase Program

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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