AI/ML Engineer

We’re looking for a Lead AI/ML Engineer to drive our AI program and help shape how we build, deploy, and scale machine learning across the organization. You’ll lead the development of both image-based and data-driven models, working across two complementary areas: designing and training neural network models-including approaches that route different inputs to specialized sub-networks-and architecting compound AI systems, where multiple specialized models are linked and dynamically orchestrated to solve problems together. This is a role for someone who can advise on our AI direction, execute against it, and build production-grade solutions on both the model and system levels.

What You’ll Do

• Advise on the vision for our AI program and execute against the direction set by leadership
• Design, build, and train neural network models for both computer vision (image-based) and data-driven use cases
• Develop advanced model architectures where appropriate, including multi-task models and designs that route inputs to specialized sub-networks
• Architect compound AI systems that link multiple models together, with orchestration and dynamic routing between components to create adaptive, multi-model solutions
• Make sound architectural judgments about where to draw boundaries-when to build a single end-to-end model versus a system of orchestrated components
• Deploy models to edge and cloud environments, including NVIDIA Jetson hardware and Azure ML
• Monitor and optimize both individual models and end-to-end systems in production for accuracy, speed, and reliability
• Mentor others on AI best practices, and collaborate with development and data teams to build fully functional end-to-end solutions
• Stay ahead of emerging tools, techniques, and best practices in AI/ML

• Bachelor’s or Master’s degree in Computer Science, Engineering, Math, or a related field (or equivalent experience)
• Proven experience leading AI/ML projects or teams
• Strong programming skills in Python
• Deep experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Hands-on experience designing and training neural network models, including for computer vision (image-based) and data-driven applications
• Familiarity with advanced neural architectures, including multi-task learning and models that route inputs to specialized sub-networks
• Experience building compound AI systems-linking and orchestrating multiple models with dynamic routing between components
• Experience deploying models using NVIDIA Jetson hardware and/or Azure ML
• Solid understanding of core ML concepts (model training, evaluation, optimization, etc.)
• Strong problem-solving, communication, and leadership skills

Nice to Have

• Experience with edge AI and real-time inference on embedded hardware
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow)
• Familiarity with model orchestration or pipeline frameworks (e.g., LangChain, DSPy, or similar)
• Knowledge of deep learning, NLP, or large language models (LLMs)

Pulled from the full job description

• Referral program
• Professional development assistance
• Tuition reimbursement
• 401(k)
• Health insurance
• 401(k) matching
• Paid time off, * 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Tuition reimbursement
• Vision insurance

Application Question(s):

• Are you located in the metro Detroit area and able to work in our Farmington Hills, MI office 5 days per week?