[Remote] Machine Learning Engineer - Prediction

Note: The job is a remote job and is open to candidates in USA. Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. As a Machine Learning Engineer, you will be responsible for training, evaluation, and deployment of ML-based models for scene understanding and behavior prediction, contributing to the development of self-driving technology.

Responsibilities

• Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems by executing high-value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs
• Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

Skills

• 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 etc
• Experience designing, training, and analyzing neural networks/transformer-based models for at least one of the following applications: 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 etc
• Experience with PyTorch or other Python-based deep learning frameworks
• Experience working with large data sets, data curation, and augmentation
• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.)
• Project or internship experience on VLM, VLA and other foundation models for robotics and self-driving
• PhD in machine learning, generative AI, computer vision, or robotics vision
• Project experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

Benefits

• Medical
• Dental
• Vision
• 401k with a company match
• Health saving accounts
• Life insurance
• Pet insurance
• And more

Company Overview

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