12 machine learning engineer jobs at 10 companies in Flint, MI
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
5+ YOEPhD (5+ yrs) or MS (8+ yrs) in CS/Stats/Economics (or related), 6+ yrs ML experience, 4+ yrs GenAI experience, expertise in LLMs, RL, recommendations, causal inference, model deployment, and strong problem-solving and collaboration skills.
FaureciaEuronext Paris: FRVIA: Designs and produces automotive seats and interior modules.
5+ YOEMaster's or PhD in CS/ML/AI, 5+ years ML experience (7+ preferred), expertise in computer vision, Python, PyTorch/TensorFlow, GPU/CUDA acceleration, production model deployment and ML pipelines; Azure familiarity preferred.
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.
AAA Life Insurance Company: Provides life insurance and annuity products to consumers.
10+ YOE10+ years in ML/AI, 2+ years architecting LLM-based agentic AI in production; Master’s in a quantitative field; strong Python and ML framework skills.
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Plymouth, Michigan, United States
HybridFull Time
Bosch: Global manufacturer of automotive and industrial engineering technology.
5+ YOEBachelor's or Master's in CS/AI or related,5+ years in AI/ML systems,edge/embedded deployment experience,Python and C++ proficiency,LLM and model optimization expertise.
Director of Machine Learning & Artificial Intelligence
Ann Arbor, Michigan, United States
OnsiteFull Time
Domino'sNASDAQ: DPZ: Global pizza chain providing delivery and carryout services.
12+ YOE5+ Mgmt12+ years in AI/ML with 5+ years in senior leadership; hands-on experience with production ML systems, GenAI/LLMs, ML Ops, cloud, containerization, and stakeholder management.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
1+ YOEMaster's in EE/CE/CS/Robotics (or equivalent) and 1 year related experience; experience with C++, model-based development, machine learning, real-time testing, and system-level collaboration; up to 10% travel.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
3+ YOEBachelor's in a related field, 3+ years in data science/advanced analytics, strong proficiency in Python, SQL, PySpark, visualization tools, cloud platforms, statistics, machine learning, and delivering production analytics solutions.
Auto-Owners Insurance: Provides property, casualty, and life insurance policies and services.
Bachelor's in CS/IT/IS or equivalent experience; experience with RPA, machine learning, NLP, OCR/ICR, data analysis, and Java; knowledge of Agile; ability to work in Lansing, MI and eligibility to work in the U.S. without sponsorship.
RPA, Machine Learning, NLP, OCR/ICR, Data Analysis, Java
Sr. Staff Data Scientist – Machine Learning & AI (Quality, Vehicle & Engineering Analytics)
Auburn Hills, Michigan, United States
OnsiteFull Time
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's in CS/CE/EE or related; minimum 8 years in data science with 5+ years using Databricks/Palantir/Snowflake/AWS SageMaker; expert Python (or R) and SQL; experience with Spark, ML, statistical modeling, and deep learning.
Databricks, Palantir, Snowflake, AWS SageMaker, Python, R, SQL, Spark, Large Language Models (LLMs)