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Machine Learning Scientist
4 months ago
We are seeking an exceptional and self-motivated machine learning scientist to join our growing R&D modeling team. Responsibilities include but are not limited to: applying machine learning, time series models, signal processing, and battery physics to develop predictive models and algorithms capable of predicting battery performance, battery state-of-health, and determining optimal cycling conditions. Cleaning and analyzing a wide variety of battery data, including raw voltage curves, and applying signal processing and knowledge of battery operation to develop novel data features. Planning experiments to obtain additional data when it is required. Communicating results with the larger R&D team and using results to make recommendations on how to improve battery performance. Innovation is at the heart of what Enevate does, so diverse backgrounds are welcome but familiarity with battery data is a plus.
Qualifications Required:
- MS or BS in computer science, engineering, physics, or chemistry with a strong background in mathematics, machine learning, and signal processing.
- High proficiency with Python and machine learning packages such as Sklearn or TensorFlow/Keras.
- Experience working with battery data.
- Experience developing new data features from raw data.
- Familiarity working with SQL databases.
- Basic understanding of a battery's physical and chemical operating principles, including failure mechanisms.
- Must be a highly motivated self-starter who is able to achieve results with minimal direction.
- Outstanding written and verbal communication skills.
- Desire to work in a startup environment.
- Strong communication and organizational skills and must be detail-oriented; demonstrated history of working with project teams on tight deadlines.
- Resourceful problem solver with strong interpersonal skills and the ability to work as a team player as well as provide creative “out-of-the-box" solutions and approaches.
- High level of maturity, drive and flexibility to work in a rapidly developing environment.
Qualifications Preferred:
- PhD in computer science, engineering, physics, or chemistry with a strong background in mathematics, machine learning, and signal processing.
- 4+ years machine learning experience in the battery field, particularly in the EV space.
- Strong theoretical and applied background in battery physics/chemistry.
- Understanding of the unique properties of Si-dominant anode systems and their relationship to cell data.
Enevate Corporation is dedicated to fostering diversity, inclusion, and promoting racial equity as an equal opportunity employer.
