GSS Machine Learning Engineer (E)

$94,400 - $160,500/Yr

Disability Solutions - Ann Arbor, MI

Full-time - Entry Level

Ann Arbor, MI

Administrative and Support Services

About the position

KLA is seeking skilled Machine Learning Engineers to join their Services AI Engineering team. This role focuses on developing and implementing large language models to enhance the efficiency and effectiveness of field operations. The position emphasizes collaboration with program management and engineering teams to create innovative solutions in the semiconductor manufacturing ecosystem.

Responsibilities

• Design, develop, and deploy machine learning models, focusing on natural language processing and understanding.
• Collaborate with cross-functional teams to integrate ML models into existing systems and workflows.
• 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.

Requirements

• 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 in the 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.

Nice-to-haves

• 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.

Benefits

• 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.
• Family care and bonding leave.