Insight Global | Applied Machine Learning Scientist | Emeryville, CA | United States | BigDataKB.com | 2022/10/29

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Job Location: Emeryville, CA

JOB DESCRIPTION

  • Develop machine learning / data solutions to solve real-world problems in battery manufacturing /design for our customers.
  • Build predictive models relating measurements from our products to battery performance
  • Explore next generation applications and technologies to further expand our product offerings.
  • Engineer features to improve our predictive model performance
  • Analyze customer and in-house data to provide actionable insights
  • Build out data visualization tools to track the status of our products
  • Communicate with our engineering and business teams to help drive decisions and influence

product direction.


MINIMUM REQUIREMENTS

  • PhD or Master’s with equivalent experience (2+ years of ML-focused research) in Science, Technology, Engineering, Mathematics (STEM)
  • Experience solving complex, open-ended applied ML problems.
  • Proficiency with Python and the Python data stack (Numpy, Scipy, Pandas, Scikit-learn)
  • Experience with predictive modeling (Regression, Classification, Clustering, Dimensionality, Reduction).
  • Familiarity with deep learning frameworks (Tensorflow or Pytorch)
  • Practical experience working with real world data acquired from experiments
  • Strong communication skills, with a knack for conveying findings to technical and non-technical audiences visually, verbally, and/or in writing
  • Ability to extract meaning from data and draw logical and coherent conclusions


DESIRED SKILLS

  • Experience developing code for modern parallel computing environments (e.g., parallel, processing, GPUs, and distributed clusters)
  • Experience with signal processing techniques
  • Familiarity or exposure to Bayesian statistics
  • Experience with federated learning
  • Experience with battery data
  • Physical intuition about ultrasound data
  • Has experience calibrating metrology or inspection equipment




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