Senior AI/ML Systems Engineer — Production

Aimlroles; Ann Arbor (MI); On-site; USD 130,000 - 190,000; Full time

Job summary

KLA seeks an AI/ML Engineer – Systems to turn research into production AI/ML systems in Ann Arbor, MI. The role involves a hands-on, high-impact team focused on integration, performance optimization, and operations for AI workloads.

You will lead projects, mentor others, and work across partners to deliver reliable AI capabilities. The position requires a strong background in ML, cloud/DevOps, and system design, with 8+ years software experience and 3–5 years in AI/ML.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or related field; Master's/PhD preferred.
• 8+ years in software engineering with 3–5 years in AI/ML producing production solutions.
• Proficiency in Python with experience in ML libraries such as TensorFlow and Scikit-learn; RAG is essential.
• Strong background in statistics, ML algorithms, deep learning, and system architecture.
• Cloud, DevOps, and data processing technologies; CI/CD and Git experience.
• Ability to lead technical projects in matrix environments.
• Excellent communication to non-technical partners.

Responsibilities

• Integrate AI/ML components into existing applications and pipelines for long-term reliability.
• Improve latency, throughput, reliability, and resource efficiency across systems.
• Collaborate on scalable, resilient AI/ML systems that evolve with new use cases.
• Ensure AI/ML systems meet security, compliance, observability, and operational readiness.
• Support deployment, monitoring, and troubleshooting of AI/ML systems in production.
• Work with cross-functional partners to deliver high-impact AI capabilities.

Skills

Python

MLOps

AI/ML systems engineering

RAG

Lead technical projects

Education

Bachelor's degree in CS/Data Science/AI

Master's or PhD preferred

Tools

TensorFlow

Scikit-learn

Job description

KLA seeks an AI/ML Engineer – Systems to turn research into production AI/ML systems in Ann Arbor, MI. The role involves a hands-on, high-impact team focused on integration, performance optimization, and operations for AI workloads.

You will lead projects, mentor others, and work across partners to deliver reliable AI capabilities. The position requires a strong background in ML, cloud/DevOps, and system design, with 8+ years software experience and 3–5 years in AI/ML.