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.
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.
