Machine Learning Engineer

3 days ago

Ann Arbor, Michigan, United States KLA Full time
Job Title: Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to join our Services AI Engineering team at KLA. The successful candidate will be responsible for developing and implementing large language models to 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 (e.g., 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.
What We Offer:

KLA offers a total rewards package that is competitive and comprehensive, including 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.

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