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.

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 3-5 years of experience in AI/ML, with a consistent 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 critical.
• 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: $105,900.00 - $180,000.00 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.