Staff Research Scientist - VLM / VLA

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Mountain View, CA
Salary
$218,800–$335,300 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $277k
$116k most similar roles pay here $359k

This role pays more than 92% of similar roles. Most pay $162,000–$218,250 — the shaded band above. At the midpoint, this role pays about $277k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 112 open roles on FindRole.

Listed pay typically runs $170,000–$261,300 across 63 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Staff Research Scientist - VLM / VLA

As a Staff Research Scientist in autonomous driving at General Motors, you will join a pioneering team focused on advancing AI and machine learning to solve complex challenges in real-time vehicle systems. Your primary responsibilities include designing and optimizing Vision-Language Models (VLMs) and Vision-Language-Action models (VLAs) for onboard deployment, ensuring they can process multimodal data from cameras, radar, LiDAR, and textual inputs with ultra-low latency on resource-constrained hardware. You will also mentor a multidisciplinary team of engineers and collaborate closely with perception, planning, and infrastructure teams to integrate these foundational models into the core autonomous software stack. Essential skills include deep expertise in modern ML architectures like transformers, strong Python programming abilities, and proven research impact through publications or industry contributions. This role demands a Ph.D. and 5+ years of experience in AI/ML, with AV/ADAS experience preferred.

What you'll do

  • Design and prototype advanced Vision-Language Models for real-time semantic understanding in autonomous driving.
  • Lead initiatives to optimize high-parameter models for ultra-low latency execution on vehicle edge hardware.
  • Advance multimodal alignment techniques integrating camera, radar, LiDAR, and textual inputs into unified architectures.
  • Influence technical roadmaps aligning with safety requirements and next-generation vehicle launches.
  • Provide mentorship and long-term vision to a multidisciplinary team of machine learning engineers and specialists.

What we're looking for

  • Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field.
  • 5+ years of experience in AI/ML research and applied development.
  • Expertise in modern ML architectures including transformers, generative AI, and multimodal systems.
  • Strong programming skills in Python with a focus on model optimization and deployment.
  • Proven track record of impactful research in top-tier conferences or industry-leading systems.
  • Experience in autonomous vehicle (AV) or advanced driver assistance systems (ADAS).

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