To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

We are seeking an AI/ML Engineer to help build agentic AI solutions that automate workflows and support better decision‑making across the enterprise. In this role, you’ll collaborate with senior engineers and product partners to deliver reliable, production‑grade AI services, contribute to agent orchestration approaches, and continuously improve evaluation and monitoring for quality and performance.

The ideal candidate brings proven software engineering fundamentals and experience with modern AI frameworks. This is a hands‑on builder role focused on collaborative design, implementation, and deployment of agentic AI systems. If you enjoy building, experimenting, and learning while deploying real AI systems, we’d love to hear from you! This role will be based at our Midwest HQ in Ann Arbor, MI

Key Responsibilities

•  Build and deploy agent‑based AI systems, including autonomous and semi‑autonomous agents that can reason, plan, use tools, and collaborate effectively.
• Support benchmarking efforts for model performance across different deployment environments.
• Collaborate in the design and implementation of scalable and reliable AI/ML systems that support evolving workloads.
• Help ensure solutions align with enterprise standards for security, compliance, observability, and operational efficiency.
• Run focused experiments (e.g., A/B tests, workflow refinements) to improve agent performance.
• Work closely with cross‑functional partners to deliver impactful business outcomes.

Preferred Qualifications

• Experience working with enterprise AI/ML platforms or managed AI services.
• Exposure to model evaluation, monitoring, or performance tuning in production settings.
• Familiarity with MLOps practices and modern deployment workflows.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, or a related field. Master's and/or PhD preferred
• Minimum of 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

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 [email protected] 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.