About this role
Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what’s considered feasible? As part of our Battery Engineering group, you’ll help craft creative battery algorithm and modeling solutions that deliver more energy in smaller spaces than ever before! Join us, and you’ll help us innovate new battery technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what batteries can do and improve the product experience for our customers across the world.
This position will develop battery physics-based models and machine learning algorithms to optimize battery performance.
Minimum Qualifications
MS degree.
Experience in electrochemical processes and performance / safety characterization.
Experience in physics-aware machine learning modeling and algorithms.
Experience in machine learning-based optimization techniques such as generic algorithm and gradient-based ML algorithms.
Preferred Qualifications
PhD and 10+ years relevant industry experience.
Experience in Matlab and/or Python.
Experience in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
Experience deploying physics-based hybrid machine learning models into mass production products.
Understanding of current state of the art production processes applicable to lithium rechargeable cells.