Disability Solutions - Ann Arbor, MI

posted 4 months ago

Full-time
Ann Arbor, MI
Administrative and Support Services

About the position

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, and we are always looking to build our talent community for Machine Learning Engineers. Although we do not currently have an opening, we are interested in learning about your background and skills for future opportunities. As a Machine Learning Engineer, you will be a core part of KLA's technology, focusing on developing and implementing large language models that enhance our field operations. This role requires collaboration with program management and engineering teams to create innovative solutions that improve efficiency and effectiveness in our services. In this position, you will design, develop, and deploy machine learning models, particularly in the area of natural language processing and understanding. You will work closely with cross-functional teams to integrate these models into existing systems and workflows. Your responsibilities will also include conducting data processing and analysis to enhance model accuracy and efficiency, staying updated with the latest advancements in machine learning and natural language processing technologies, and fine-tuning models based on feedback and performance metrics. This is an exciting opportunity to be part of a team that thrives on tackling complex problems and driving innovation in the semiconductor industry.

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, and vision insurance.
  • Life and other voluntary benefits.
  • 401(K) with 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.
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