13 deep learning engineer jobs at 9 companies in Durand, MI
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Machine Learning Engineer
Ann Arbor or San Francisco or Houston
$120k-$160k/yrOnsiteFull Time
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
Lucid MotorsNASDAQ: LCID: Designs and manufactures high-performance luxury electric vehicles.
3+ YOERequires a bachelor's degree in an engineering field, 3+ years of relevant experience, deep learning expertise, Python, and PyTorch or another ML framework. C++ and advanced degrees are preferred.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
8+ YOE8+ years ML engineering (or exceptional 6+ with org-level leadership), production ML or control systems experience, deep RL and sim-to-real expertise, technical leadership, and cross-functional collaboration with domain experts.
Ann Arbor or Blacksburg or Fort Worth or United States
$153k-$184k/yrHybridFull Time
Torc Robotics: Software for autonomous heavy-duty trucking.
3+ YOEBachelor's degree with 3+ years of relevant experience, master's with 1+ years, or equivalent practical experience; Python, PyTorch, computer vision, deep learning, 3D perception, and production ML experience required.
FORVIAEuronext Paris: FRVIA: Designs and manufactures automotive systems and technologies.
5+ YOEMaster's/PhD in CS/ML/AI, 5+ years ML experience (preferably 7+), strong computer vision and deep learning expertise, production model deployment, Python, PyTorch/TensorFlow, CUDA, ML pipelines, and scalable system design.
Sunnyvale or Austin or Detroit or Warren or Milford or Mountain View or United States
$296k-$424k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
MS or PhD in CS/Robotics/ML or related; experience leading technical teams delivering production ML systems; deep expertise in robotics planning/control, imitation or reinforcement learning, generative models, and large-scale ML; strong software engineering skills in Python and C++.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's degree and 8+ years in software engineering, AI, or machine learning, including 3+ years with LLM systems; Python, AI/ML frameworks, deep learning, and production deployment experience required.
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
8+ YOERequires a bachelor's degree, 8+ years in software engineering, AI, or ML, 3+ years hands-on LLM systems experience, Python, AI/ML frameworks, deep learning, and strong English communication.
Large Language Models (LLMs), OpenAI, Anthropic, Databricks, Python, PyTorch, TensorFlow, LangChain
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
8+ YOEBachelor's in CS/Data Science or related; 8+ years software engineering with 3-5 years AI/ML; proficiency in Python, TensorFlow, Scikit-learn, RAG; strong statistics, ML/deep learning, cloud and DevOps experience; proven production deployments.
Sunnyvale or Washington or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
£100k-£160k/yrOnsiteFull Time
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
5+ YOE5+ years building production software; experience with autonomous vehicle solutions for defense; end-to-end deep learning development; fluency in C++ or Python with C++; strong communication and mentoring skills; ability to hold UK security clearance.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
5+ YOEBachelor’s degree and 5+ years in ML/AI development, including 2+ years in model evaluation, testing, or validation. Requires Python, automation frameworks, deep learning and LLM evaluation, CI/CD, and analytical skills.
Deepgram: Provide real-time APIs for automated speech-to-text and voice AI.
Experience building end-to-end data stacks and pipelines, applying statistical methods and deep learning to audio data, strong software engineering in Python, and experience with PyTorch; strong communication skills.