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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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