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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer - Embodied AI Scaling... - **Company:** General Motors - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $159,300.0 - $230,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Code Review, Data Infrastructure, Python (Programming Language), Machine Learning, NumPy, Object Detection, Reinforcement Learning, Data Processing, Pytorch, Apache Spark, Pandas, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 4, 2026 - **Apply:** https://www.juju.com/job/00000000gdmf99 ## About the Role + Bachelor's orMaster's degree in Computer Science, Robotics, Machine Learning, or related field. + Experience applying machine learning techniques to real-world systems or large-scale datasets. + Proficiency in PyTorch and Python. + Experience working with model training pipelinesorlarge-scale data processing workflows. + Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark. + Ability to collaborate effectively within cross-functional engineering teams. + Experience deploying ML models into production or working within production ML environments preferred. ## Description The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop. The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect - both from real driving by GM and retail fleets, but also synthetic sim-based datasets. Why Join Us? + Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity - into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example. + Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. + Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles. As a Senior AI/ML Engineer in the Embodied AI Data Foundations organization, you will develop and deploy machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. You will contribute to designing and improving ML models that go up the data scaling curves and when deployed, support safe and reliable vehicle behavior across real-world scenarios. You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution. What You'll Do + Develop and improve ML solutions aligned with GM's autonomous driving objectives. + Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI. + Collaborate with cross-functional teams to deploy models into onboard driving systems. + Implement and evaluate models, incorporating research advancements into practical applications. + Contribute to taking ML solutions from experimentation through deployment and production support. + Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing., **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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