Sr. AIML Engineer Systems

KLA


Job Location:

Ann Arbor, MI - USA

Yearly Salary: $ 129600 - 220300
Posted on: 7 days ago
Vacancies: 1 Vacancy

Job Summary

Company Overview

KLA 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 worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. ITs 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 youll 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 wed 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 Youll Enjoy Working With Us

We build AI systems the same way we build teamsbyworking closely together learning continuously and being thoughtful about the tradeoffs we make.

Youll 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 youll also have opportunities totake on more ownership and mentor others shaping how AI systems are built and operated.

Minimum Qualifications

  • Bachelors degree in Computer Science Data Science AI or a related field. Masters 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: $129600.00 - $220300.00 Annually

Primary Location: USA-MI-Ann Arbor-KLA

KLAs 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.

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 or at 1- to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.


Required Experience:

Senior IC

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 woul...

About Company

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Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen. Who are we? We research, develop, and manufacture t ... View more

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