Leading Expert in Electric Vehicle Optimization
4 days ago
Unlock the Potential of Electric Vehicles as a Staff Machine Learning Engineer
About the RoleWe are seeking a highly skilled Staff Machine Learning Engineer to join our Vehicle Controls team at Rivian. As a key member of this team, you will be responsible for developing sophisticated machine learning models that strategically leverage vehicle telemetry data to advance the state of the art in vehicle online optimizations.
Key Responsibilities- Design, implement, and optimize deep learning dataset generation, training, and evaluation tools and infrastructure to drive innovation in electric vehicle controls.
- Collaborate with vehicle controls SW engineers to develop domain-specific digital twins that mimic and adapt electric vehicles' overall performance.
- Develop statistical and machine learning models to estimate trip energy consumption, charging behavior, battery aging, and remaining useful life.
- Ship and deploy ML models for various vehicle domains to enhance electric vehicles' efficiency across different operating conditions.
- Work cross-functionally with domain experts and other data stakeholders to specify, implement, and deliver meaningful insights for electric vehicle controls and propulsion.
- M.S. or Ph.D. in Machine Learning, Engineering, Computer Science, or related STEM disciplines.
- 5+ years of industry experience in ML systems.
- Expert-level proficiency in Python and Apache Spark.
- In-depth understanding of statistical and machine learning concepts, including deep and reinforcement learning.
- Strong knowledge in mathematical modeling, RNNs, CNNs, Transformers, LSTMs, reinforcement learning, imitation learning, GANs, and time-series analysis and modeling of dynamic systems.
- Understanding electric vehicle controls and propulsion, encompassing high-voltage batteries, energy management, charging, or vehicle suspension.
- Excellent communication and interpersonal skills for both technical and non-technical audiences.
- Outstanding team player, capable of building consensus in a dynamic environment.
- Proven ability to provide direction, guidance, and hands-on support to drive results.
- $205,000 - $236,000 annual salary (based on location and experience).
- A comprehensive benefits package, including medical/Rx, dental, and vision insurance for full-time employees and their families.
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