Machine Learning Engineer

Who you are

You have a strong background in machine learning and software engineering, with experience in developing models that enhance perception systems for autonomous vehicles. Your expertise includes data gathering, labeling, and model training, which are essential for creating accurate semantic maps. You understand the complexities of integrating machine learning models into existing systems and are adept at validating their performance in real-world scenarios.

You thrive in collaborative environments and enjoy working with cross-functional teams to achieve ambitious goals. Your problem-solving skills enable you to tackle challenges in perception mapping, ensuring that the autonomous systems you work on can navigate complex environments safely and efficiently. You are passionate about advancing technology that contributes to the future of transportation.

What you'll do

As a Machine Learning Engineer on the Perception Mapping team at Zoox, you will play a pivotal role in the development of our autonomous vehicle technology. Your primary responsibility will be to design and implement machine learning models that detect and classify elements in the environment, contributing to our online mapping initiative. You will gather and label data, ensuring that the datasets used for training are comprehensive and representative of real-world conditions.

You will train and validate models, iterating on their performance to achieve the highest accuracy possible. Your work will involve integrating these models into the existing technology stack, collaborating closely with software engineers and other stakeholders to ensure seamless functionality. You will also be responsible for monitoring the performance of deployed models and making necessary adjustments based on feedback and new data.

What we offer

At Zoox, you will be part of a forward-thinking team dedicated to revolutionizing transportation through autonomous technology. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a dynamic environment where innovation is encouraged, and your contributions will have a direct impact on the success of our projects. Join us in shaping the future of mobility and making a difference in the world.