Build machine learning models to provide valuable estimations and predictions to the product and the user. Interface closely with the battery experts (modeling/electrochemical/mechanical/thermal/software) and engineers to define features & metrics from the domain knowledge.
Work with vehicle telemetry data at scale to provide insight on the battery health, performance, and powertrain efficiency of Rivian products
Work with battery scientists to improve state of health estimation for batteries based on field data models.
Develop statistical and machine learning models for predicting and forecasting field failures, cell chemistry variations, battery health degradation and how various driving behaviors affect battery performance for safety and drivability.
Build scalable full stack infrastructure and data pipelines to aggregate telemetry and service data in order to monitor and predict failures in the field.
Research and development of multivariate models for prognostics applications, predictive maintenance, and battery state of health estimation, battery health coaching.
Run cloud-based data models to assist improving battery power and energy estimation based on current, voltage and temperature data points across various drive cycles and geographies.
Work with embedded systems engineers to bring cloud-based data models to run on embedded systems.
Must have 3 or more years of industry experience in a data science or software engineering role or Masters/PhD. Level of role depends on experience and qualifications.
Ideally 3-5 years' experience in battery domain, focusing on hardware and engineering
Experience working with data in Apache Spark, Python and SQL
Strong fundamentals in software engineering with Python
Understanding of statistical and machine learning concepts
Data visualization and communication best practices
Experience with cloud infrastructure such as AWS with Terraform/Docker
Programming in multiple languages, such as Golang/Scala/C/C++
Experience with battery prognostics and health management
Working knowledge of mathematical or advanced machine learning concepts
Experience with reinforcement learning
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