Sr. AI/ML Engineer - Systems

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, subject‑matter experts, software engineers, and product partners to integrate AI/ML capabilities intoscalable, production‑ready systems that teams depend on.

This is ahands‑on 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 long‑term reliability and maintainability.

Improve system and model performance acrosslatency, throughput, reliability, and resource efficiency, and participate in practical trade‑off 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 cross‑functional partners to deliverstable, high‑impact AI capabilities.

Preferred Qualifications

Experience withMLOps or ML systems engineeringpractices 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—byworking 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 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.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Total Rewards

Base Pay Range: $129,600.00 - $190,067.00 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.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

Equal Opportunity Statement

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 talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.