Job Description/Preferred Qualifications

This role sits at the intersection of KLA's most advanced AI work and the rest of the company. Based in Ann Arbor, you are the bridge between what our AI engineering team builds and what KLA's business units need - identifying which capabilities are ready to deploy and building the infrastructure that every future AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization. If you want to build foundational AI infrastructure at a company where the data is proprietary, the problems are hard, and the impact is measurable - this is the role.
This role sits at the intersection of KLA's most advanced AI work and the rest of the company. Based in Ann Arbor, you are the bridge between what our AI engineering team builds and what KLA's business units need - identifying which capabilities are ready to deploy and building the infrastructure that every future AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization.

Key Responsibilities:

• Build and enhance AI products and tools for the business, owning product quality and reliability end to end
• Deploy AI capabilities into KLA's teams, serving as the bridge between R&D and production use
• Own the internal AI infrastructure - the foundational layer that removes friction, compounds organizational learning, and scales without adding headcount
• Architect and maintain reusable infrastructure: agent scaffolding, eval frameworks, and integration patterns
• Design and build persistent context and memory systems that make AI environments personalized and progressively more useful over time
• Build skill and plugin distribution systems that let one person's breakthrough become everyone's baseline
• Design and operate on-prem inference infrastructure for deployments where data cannot leave the network
• Fine-tune or adapt foundation models on proprietary data where it creates meaningful capability uplift
• Build CI/CD pipelines for agents: testing, evaluation, versioning, and rollback
• Set technical standards and mentor junior engineers; lead design reviews and define golden paths for development
• Track the AI frontier at a deep technical level - not just what shipped but how it works and what it changes about what's possible

Preferred Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field; Master's preferred
• 3+ years of experience building and operating ML/AI systems in production, including ownership of production-grade infrastructure
• Strong proficiency in Python and experience with ML frameworks and model fine-tuning techniques
• Hands-on experience with inference optimization and model serving infrastructure, including on-prem deployment patterns
• Experience building internal tools, platform infrastructure, or developer experience layers that other engineers or non-technical users depend on
• Experience designing plugin architectures, marketplace systems, or extensible platform components that scale adoption
• Experience building persistent memory, context management, or personalization systems for AI products
• Working knowledge of CI/CD, containerization, orchestration, and Infrastructure-as-Code
• Experience designing evaluation harnesses and automated testing for AI systems
• Strong understanding of data governance and security - comfortable operating within tiered data handling policies
• Owns outcomes, not tasks - you identify what needs to happen and drive it without being managed
• Technical leadership experience: mentoring engineers, leading design reviews, setting standards
• Prior experience in semiconductor, manufacturing, or scientific/industrial ML is a plus

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Base Pay Range: $111,900.00 - $190,200.00 Annually

Primary Location: USA-MI-Ann Arbor-KLA

KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.