Engineering Manager: AI/ML Solutions

KLA

Ann Arbor Charter Township (MI)

On-site

USD 114,000 - 194,000

Full time

6 days ago
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Benefits offered by this job

Medical benefits
401(K) matching
Employee stock purchase program (ESPP)
Tuition reimbursement
Paid time off

Job summary

KLA in Ann Arbor, Michigan is seeking a Software Engineering Manager to lead a team of engineers building AI/ML solutions for advanced inspection and metrology products. You will drive architecture, mentoring, and delivery across AI initiatives in a fast-paced, production-focused environment.

You will partner with data, cloud and security teams to ensure reliable, compliant AI platforms, while guiding project planning, execution and quality across the organization.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or related field.
  • 10+ years in software engineering, ML/AI or data roles.
  • 4+ years of people management of technical teams.
  • Strong understanding of AI/ML systems in production.

Responsibilities

  • Lead and mentor a software engineering team with focus on AI/ML.
  • Define, plan and execute AI/ML projects from conception to deployment.
  • Provide architectural guidance for ML pipelines and LLM apps.
  • Review designs and ensure compliance with platform standards.
  • Partner with data, cloud and platform teams for enterprise alignment.
  • Collaborate with security, legal, and governance for responsible AI.

Skills

AI/ML architectures
APIs & CI/CD
Stakeholder communication
Team mentorship

Education

Bachelor's degree in CS/Engineering

Tools

APIs
CI/CD
ML tooling

Job description

KLA in Ann Arbor, Michigan is seeking a Software Engineering Manager to lead a team of engineers building AI/ML solutions for advanced inspection and metrology products. You will drive architecture, mentoring, and delivery across AI initiatives in a fast-paced, production-focused environment.

You will partner with data, cloud and security teams to ensure reliable, compliant AI platforms, while guiding project planning, execution and quality across the organization.

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