Senior AI/ML Engineer

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Mountain View, CA
Salary
$170,600–$261,300 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $216k
$160k most similar roles pay here $272k

This role pays more than 52% of similar roles. Most pay $177,737–$246,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $212k 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 · Senior AI/ML Engineer

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As a Senior Research Scientist specializing in Vision-Language Models (VLMs) and Vision-Language-Action models (VLAs), you will join the AI Research organization to advance machine learning for autonomous driving. Your day-to-day involves designing, training, and prototyping state-of-the-art foundational models that enhance vehicles' semantic understanding and decision-making capabilities. You will optimize these models for onboard hardware constraints through techniques like quantization and architecture search while collaborating with perception, planning, and control teams to integrate your work into the vehicle software stack. Additionally, you will contribute to the technical roadmap by identifying high-impact research areas and mentoring junior team members. This role requires expertise in modern ML architectures such as transformers and multimodal systems, strong Python programming skills, and a track record of impactful AI/ML research or industry contributions.

Skills

Python Transformers Generative_AI Multimodal_Systems AutoML Quantization Model_Distillation Architecture_Search CVPR ICML NeurIPS IJCAI KDD Robotics_Conference_Papers AV_ADAS_Experience

What you'll do

  • Design and implement advanced Vision-Language Models (VLMs) and Vision-Language-Action models for autonomous vehicles.
  • Optimize large foundational models for efficient execution on vehicle edge hardware through techniques like quantization and distillation.
  • Integrate VLM/VLA outputs into the active vehicle software stack by collaborating with perception, planning, and control teams.
  • Identify high-impact research areas to contribute to the technical roadmap of AI projects.
  • Mentor junior researchers and engineers in machine learning and robotics technologies.
  • Publish peer-reviewed research at top-tier global AI conferences.

What we're looking for

  • Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field.
  • 2+ 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 experience in model optimization techniques.
  • 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).

Related searches

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