Sr. Artificial Intelligence and Machine Learning Scientist, Early Career

General Motors (GM)

Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, CA
Salary
$140,000–$195,000 / yr
Posted
76 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k
This role $168k
$126k most similar roles pay here $272k

This role pays less than 76% of similar roles. Most pay $172,118–$246,150 — the shaded band above. At the midpoint, this role pays about $168k versus about $209k 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 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Sr. Artificial Intelligence and Machine Learning Scientist, Early Career

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As a Senior Machine Learning Engineer on the AI Research team at GM’s Mountain View Technical Center, you will lead the development of advanced AI/ML systems for robotics and manufacturing. Your day-to-day responsibilities include designing novel machine learning architectures, developing deep learning pipelines to handle multi-modal sensor data, creating transfer learning frameworks, and collaborating with cross-functional teams to translate requirements into production-ready ML systems. You will also develop strategies for data collection and annotation to build high-quality datasets. The role requires expertise in modern deep learning architectures like Transformers and CNNs, proficiency in Python and at least one system language (C++/Java), and experience with popular AI/ML frameworks such as PyTorch or TensorFlow. This position involves working on cutting-edge projects that address complex industrial challenges at a global scale, contributing to GM’s leadership in the automotive industry through innovative AI solutions.

Skills

Python PyTorch Tensorflow Keras JAX CNNs Transformers Diffusion Models C++ Java CI/CD

What you'll do

  • Design and implement novel machine learning architectures for complex industrial applications.
  • Develop end-to-end deep learning pipelines handling multi-modal sensor data in robotics.
  • Create foundation models and transfer learning frameworks for diverse industrial scenarios.
  • Develop data collection and annotation strategies to build high-quality datasets for training.
  • Stay current with state-of-the-art ML/AI methods and share knowledge through internal talks.

What we're looking for

  • PhD in a relevant STEM field with post-doctoral experience in AI/ML.
  • Expert knowledge of deep learning architectures and model training techniques at scale.
  • Proficiency in Python and familiarity with systems programming languages like C++ or Java.
  • Strong track record of publications in top-tier AI/ML conferences or patents.
  • Ability to formulate research questions, conduct experiments, and analyze data rigorously.
  • Experience developing end-to-end deep learning pipelines for multi-modal sensor data.

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