GSS Machine Learning Engineer (E)

USA-MI-Ann Arbor-KLA

KLA

KLA is a leader in process control using advanced inspection tools, metrology systems, and computational analytics. Keep Looking Ahead.

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Base Pay Range: $94,400.00 - $160,500.00

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 identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

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

Job Description/Preferred Qualifications

Machine Learning Engineers are core to KLA’s technology, while we do not currently have an opening, we are always building our Machine Learning Engineers talent community, we are interested in learning about your background.

Apply to this posting for Future Opportunities with KLA

We are seeking a skilled Machine Learning Engineer to join our Services AI Engineering team. The successful candidate will be responsible for developing and implementing large language models. This role involves working closely with the program management and engineering teams to create solutions that improve the efficiency and effectiveness of our field operations.

Key Responsibilities:

  • Design, develop, and deploy machine learning models, with a focus on natural language processing and understanding.
  • Collaborate with cross-functional teams to integrate ML models into our existing systems and workflow.
  • Conduct data processing and analysis to improve model accuracy and efficiency.
  • Stay updated with the latest advancements in ML and NLP technologies.
  • Fine-tune models based on feedback and performance metrics.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Hands-on experience in machine learning, natural language processing, and AI technologies
  • Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch)
  • Experience with developing and deploying large language models either cloud or on-premise.
  • Familiarity with CI/CD pipelines and DevOps
  • Prior experience in a similar industry is a plus.
  • Excellent problem-solving and analytical skills
  • Strong communication and teamwork abilities

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

The company offers a total rewards package that is competitive and comprehensive including but not limited to the following:  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.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. 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.

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 KLA’s 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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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Tags: ANN CI/CD Computer Science DevOps Engineering LLMs Machine Learning ML models NLP Pipelines Privacy Python PyTorch R R&D Research TensorFlow VR

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Medical leave Wellness

Region: North America
Country: United States

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