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Machine Learning Engineer

2 months ago


Fremont, California, United States TEL Full time

Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team at TEL. As a Machine Learning Engineer, you will be responsible for developing and implementing plasma process optimization methods and workflow.

Key Responsibilities

  • Collaborate with plasma process domain experts to develop and implement plasma process optimization methods and workflow.
  • Leverage fundamental plasma process knowledge, equipment, and diagnostic sensor technologies in building machine learning pipelines.
  • Improve model interpretability using technologies like causal inference.
  • Address challenges in building high-accuracy and high-fidelity plasma process prediction and control models.
  • Present project status to stakeholders and key leaders.
  • Communicate with team members and cross-functional teams to achieve project goals.

Qualifications

  • Pursuing a M.S. or Ph.D. degree in Statistics, Data Science, Computer Science, Control System, Plasma Physics, Chemical Engineering, or related field.
  • Knowledge of applied machine learning. Ideal candidate has experience applying causal inference and implementing physics-informed neural networks (PINN).
  • Experience with MATLAB, Python, or C++.
  • Excellent written and verbal communication skills.
  • Excellent presentation skills.

What We Offer

  • Competitive salary range: $32.19.
  • Comprehensive benefits package.
  • Eligibility in our bonus plan and long-term incentives as applicable.

About TEL

TEL is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.