5 applied ml engineer jobs at 3 companies in Grand Blanc, MI

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Supply Chain Applied AI Engineer
Auburn Hills, Michigan, United States
OnsiteFull Time
Stellantis
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's or Master's in engineering/AI/computer science,8 years supply chain experience with AI/ML/GenAI,hands-on AI/ML engineering,ability to own production services end-to-end and work with stakeholders,comfortable with Python and APIs.
Python, APIs
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Supply Chain Applied AI Engineer
Auburn Hills, Michigan, United States
OnsiteFull Time
Stellantis
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
8+ YOE8+ years supply chain experience with AI/ML/GenAI focus; hands-on ML engineering; production service ownership; experience with Python and APIs; ability to work with business stakeholders to prototype and scale AI solutions.
Python, APIs
2mo
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Lead Applied Scientist, Document Understanding
New York or Frisco or Toronto or Ann Arbor or Eagan
$148k-$274k/yr RemoteFull Time
Thomson Reuters
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
8+ YOEPhD in CS/AI/NLP; 8+ years production NLP; PyTorch/Transformers/DeepSpeed; publications; production depth; ML engineering leadership.
Python, PyTorch, Hugging Face Transformers, DeepSpeed
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Algorithm Engineer
Ann Arbor, Michigan, United States
$106k-$180k/yr OnsiteFull Time
KLA
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
0+ YOEPhD in signal or image processing, applied mathematics, detection, computational imaging, or computer vision; practical AI/ML experience preferred; MATLAB or Python and C++ under Linux experience preferred.
MATLAB, Python, C++, Linux, CUDA, GPU, ESPP, EAP
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ICT Data Engineer
Auburn Hills, Michigan, United States
OnsiteFull Time
Stellantis
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
3+ YOEBachelor's in related field, minimum 3 years in data roles, proficiency in Python, SQL, PySpark, experience with cloud/data platforms, statistics and applied ML, strong communication skills.
Python, SQL, PySpark, Power BI, Foundry Workshop, Palantir Foundry, Snowflake, Databricks, AWS, Azure, GCP, DB2