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At Rivian, our mission revolves around developing vehicles powered by software and data. As a Staff Machine Learning Engineer, you will be a crucial part of our team, working alongside engineers, data scientists, and domain experts to build models at scale, predict vehicle performance, and optimize SW parameters throughout the vehicle’s lifetime. We leverage the power of big data collected from our extensive customer and commercial fleets to achieve this.
Your responsibilities will include the development of sophisticated machine-learning models, strategically leveraging the data harvested from vehicle telemetry. As a Staff Machine Learning Engineer at Rivian, you will contribute significantly to our commitment to pushing the frontiers of technological innovation in the automotive sector.
Responsibilities
- As a member of the Vehicle Controls team, you will design, implement, and optimize deep learning dataset generation, training, and evaluation tools and infrastructure to advance the state of the art in vehicle online optimizations.
- Develop domain-specific digital twins in collaboration with vehicle controls SW engineers to mimic and adapt electric vehicles’ overall performance.
- Develop statistical and machine learning models for estimating 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.
- Foster collaboration among engineering peers by creating well-structured, adaptable designs and code that promote teamwork and practical solutions.
- Demonstrate your ability to facilitate consensus during complex technical discussions, ensuring that we maintain a productive and cooperative working environment.
- Build deep learning models to enhance vehicle calibrations throughout its lifetime.
Qualifications
- 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.
