Machine Learning Engineer - Behaviors

Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics In-depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer-based architectures, autoregressive decoder architectures Experience designing, training, and analyzing neural networks/transformer-based models for motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, multi-agent predictions Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods Knowledge or course experience of generative models such as VLM, VLA Experience with PyTorch or other Python-based deep learning frameworks Experience working with large data sets, data curation, and augmentation

Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems Prototyping and implementing continuously improving metrics to evaluate behavioral models Timely release of major model updates, including analysis of evaluation data Staying up to date with industry trends and proposing new architectures Maintaining a high-quality training and evaluation code-base