Machine Learning Engineer • Senior

Who you are

You have a strong background in machine learning and deep learning algorithms, with hands-on experience in training and deploying models. Your expertise allows you to design and execute high-value experiments that enhance the performance of behavioral models in complex driving scenarios. You stay updated with the latest trends in the industry and are eager to propose innovative architectures based on published research. You are passionate about Level 5 autonomous driving and thrive on intellectual challenges, seeking opportunities for career growth in a fast-growing company.

You possess a deep understanding of the tech stack used for scene understanding and behavior prediction, which enables you to contribute effectively to the development of safe and comfortable driving trajectories for robotaxis. Your coding skills are complemented by your ability to maintain a high-quality training and evaluation codebase, ensuring that the models you work on are robust and reliable.

Desirable

Experience with large datasets and familiarity with dataset generation techniques is a plus. You are comfortable collaborating with cross-functional teams, including other machine learning engineers and research scientists, to achieve common goals. Your analytical mindset helps you evaluate model performance across various scenarios, and you are adept at using metrics to drive improvements.

What you'll do

In this role, you will be responsible for the training, evaluation, and deployment of machine learning models that focus on scene understanding and behavior prediction. You will design and implement experiments that leverage collaborative input from your peers, ensuring that the models you develop meet the high standards required for autonomous driving applications. Your day-to-day responsibilities will include timely releases of major model updates, along with thorough analysis of both offline and on-road evaluation data to assess their effectiveness.

You will maintain a high-quality codebase for training and evaluation, which includes developing tools for dataset generation and performance evaluation. Staying abreast of the latest advancements in machine learning will be crucial, as you will be expected to propose new architectures and network designs that can enhance the capabilities of our robotaxi systems. Your contributions will directly impact the safety and efficiency of self-driving vehicles, making a positive social impact through technology.

What we offer

Motional provides a collaborative and inclusive work environment where you can grow your skills and advance your career. You will have the opportunity to work alongside world-class engineers and researchers who are dedicated to making self-driving vehicles a reality. We offer competitive compensation and benefits, along with a commitment to diversity and inclusion in the workplace. Join us in our mission to transform transportation and create a safer, more efficient future for everyone.