Sr. AI/ML Engineer - Systems

KLA-Belgium; Ann Arbor (MI); On-site; USD 130,000 - 220,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life

401(K) matching

Employee Stock Purchase Program (ESPP)

Tuition reimbursement

Job summary

KLA is seeking an AI/ML Engineer - Systems for its Midwest HQ in Ann Arbor, MI. You will join a collaborative team to turn AI/ML research into production-grade systems, focusing on reliability, performance, and scalability of AI workloads across applications and pipelines.

The role emphasizes hands-on integration, optimization, and operational excellence, with opportunities to influence architecture and deployment strategies across teams.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or a related field.
• Master's and/or PhD preferred.
• 8+ years of software engineering with 3-5 years of AI/ML, production deployment track record.
• Proficiency in Python with TensorFlow and Scikit-learn.
• Experience with RAG is essential.
• Strong background in statistics, ML algorithms, deep learning, neural networks, and system architecture.
• Familiarity with cloud platforms, DevOps practices, and data processing technologies.
• Ability to lead technical projects and communicate with non-technical stakeholders.

Responsibilities

• Integrate AI/ML components into existing applications, services, and pipelines, with a focus on long-term reliability and maintainability.
• Improve system and model performance across latency, throughput, reliability, and resource efficiency, and participate in practical trade-off discussions.
• Collaborate on the design and implementation of scalable, resilient AI/ML systems that evolve as new use cases emerge.
• Help ensure AI/ML systems meet enterprise expectations for security, compliance, observability, and operational readiness.
• Support deployment, monitoring, and troubleshooting of AI/ML systems in production.
• Work closely with cross-functional partners to deliver stable, high-impact AI capabilities.

Skills

MLOps

CI/CD

Python

TensorFlow

Scikit-learn

RAG

Cloud platforms

DevOps practices

System architecture

Communication

Education

Bachelor's degree in Computer Science, Data Science, AI, or related field

Master's and/or PhD preferred

Tools

Docker

Kubernetes

Git

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

We are seeking a AI/ML Engineer - Systems to help turn AI/ML research into systems that run reliably in production. In this role, you’ll work with a small, collaborative team of ML engineers, subject-matter experts, software engineers, and product partners to integrate AI/ML capabilities into scalable, production-ready systems that teams depend on. This is a hands-on systems role focused on integration, performance optimization, and operational excellence for AI/ML workloads. If you enjoy owning real problems, learning how complex systems scale, and improving AI systems that are actively used in production, we’d love to hear from you! This role will be based at our Midwest HQ in Ann Arbor, MI.

Key Responsibilities

• Integrate AI/ML components into existing applications, services, and pipelines, with a focus on long-term reliability and maintainability.


• Improve system and model performance across latency, throughput, reliability, and resource efficiency, and participate in practical trade-off discussions.


• Collaborate on the design and implementation of scalable, resilient AI/ML systems that evolve as new use cases emerge.


• Help ensure AI/ML systems meet enterprise expectations for security, compliance, observability, and operational readiness.


• Support deployment, monitoring, and troubleshooting of AI/ML systems in production.


• Work closely with cross-functional partners to deliver stable, high-impact AI capabilities.

Preferred Qualifications

• Experience with MLOps or ML systems engineering practices such as CI/CD, monitoring, model versioning, or rollback strategies.


• Familiarity with containerized or cloud-based deployment environments.


• Exposure to performance tuning, reliability engineering, or operational support for AI/ML systems.

Why You’ll Enjoy Working With Us

We build AI systems the same way we build teams—by working closely together, learning continuously, and being thoughtful about the trade‑offs we make.

You’ll deepen your systems expertise by working on AI solutions used by real teams, seeing how those systems behave in production, and learning from experienced engineers along the way. As you grow, you’ll also have opportunities to take on more ownership and mentor others, shaping how AI systems are built and operated.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or a related field.


• Master's and/or PhD preferred.


• Minimum of eight (8) years of relevant software engineering, along with 3-5 years of experience in AI/ML, with a proven track record of deploying solutions in a production environment.


• Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit-learn, etc.


• Experience with RAG is essential.


• Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture.


• Strong understanding of cloud platforms, DevOps practices, and data processing technologies.


• Demonstrated ability to lead technical projects and work effectively in matrix environments.


• Ability to communicate technical concepts to non-technical team members and business partners.


• Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.

Base Pay Range

Base Pay Range: $129,600.00 - $220,300.00 Annually

Primary Location

Primary Location: USA-MI-Ann Arbor-KLA

Benefits

• Medical


• Dental


• Vision


• Life


• 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


• Family care and bonding leave

Interns are eligible for some of the benefits listed.

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.

KLA is proud to be an Equal Opportunity Employer.

We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us at [e-mail] or at [phone] to request accommodation.

KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.