Senior AI/ML Scientist

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Posted
48 days ago

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How this pay compares to similar roles

Similar $213k
$161k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $177,012–$248,718.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Senior AI/ML Scientist

As an Artificial Intelligence and Machine Learning Scientist at General Motors, you will join a pioneering team integrating AI/ML into vehicle design and performance systems. Your role involves leading the development of robust and interpretable AI solutions for simulation frameworks, working closely with data scientists and engineers to ensure physical relevance in outputs. You will develop custom feature extraction methods, apply statistical techniques to large datasets, and collaborate on cloud database strategies. Proficiency in Python and C/C++, along with experience in ML frameworks like PyTorch and TensorFlow, is essential. Familiarity with automotive simulation tools such as Simulink and AMESIM, and expertise in LLMs and AI-driven automation, will enable you to contribute effectively to GM’s digital twin framework and MLOps practices.

What you'll do

  • Lead integration of AI/ML into core engineering tools for robust, interpretable outputs.
  • Translate complex engineering needs into actionable AI/ML solutions, balancing innovation with stability.
  • Develop custom feature extraction methods for predictive modeling in optimizations.
  • Apply statistical and ML techniques to uncover patterns in large-scale data sets.
  • Collaborate with experts to incorporate physical interpretations of insights from simulations.

What we're looking for

  • 5+ years of experience in developing and deploying machine learning or deep learning systems.
  • Proficiency in Python, C/C++, and major ML frameworks like PyTorch, TensorFlow, HuggingFace Transformers.
  • Strong understanding of data science, big-data workflows, applied statistics, and signal processing techniques.
  • Experience with transformer architectures, large language models (LLMs), AI agents, and simulation workflows.
  • Expertise in retrieval-augmented generation, prompt engineering, embedding optimization, and MLOps practices.

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