Sr. AI/ML Engineer - Systems

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.

Requirements

• 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.
• 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: $129,600.00 - $220,300.00 Annually
• Primary Location: USA-MI-Ann Arbor-KLA
• KLA's tota

Benefits

Additional Information

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.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at KLA? Share your experience