Company OverviewKLA 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/DivisionThe 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 aAI/ML Engineer - Systemsto helpturn AI/ML research into systems that run reliably in production. In this role, you'll work with asmall, collaborative teamof ML engineers, subjectmatter experts, software engineers, and product partners to integrate AI/ML capabilities intoscalable, productionready systems that teams depend on.
This is ahandson systems rolefocused on integration, performance optimization, and operational excellence for AI/ML workloads. If you enjoyowning 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 intoexisting applications, services, and pipelines, with a focus on longterm reliability and maintainability.
Improve system and model performance acrosslatency, throughput, reliability, and resource efficiency, and participate in practical tradeoff discussions.
Collaborate on the design and implementation ofscalable, resilient AI/ML systemsthat evolve as new use cases emerge.
Help ensure AI/ML systems meetenterprise expectationsfor security, compliance, observability, and operational readiness.
Support deployment, monitoring, and troubleshooting of AI/ML systems in production.
Work closely with crossfunctional partners to deliverstable, highimpact AI capabilities.
Preferred Qualifications
Experience withMLOps or ML systems engineeringpractices such as CI/CD, monitoring, model versioning, or rollback strategies.
Familiarity with containerized or cloudbased 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-byworking closely together, learning continuously, and being thoughtful about the tradeoffs 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 totake 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: $129,600.00 - $220,300.00 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... For full info follow application link.
KLA-Tencor is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.
