Machine Learning Engineer • Senior

Who you are

You have a strong background in software engineering with a focus on High-Performance Computing infrastructure — your experience spans across various machine learning workflows, enabling you to understand the intricacies of data engineering, computer vision perception, and simulation. You are well-versed in distributed system design and have a knack for algorithmic job scheduling, ensuring efficient resource allocation and task execution.

Your expertise in adaptive cloud scaling allows you to optimize computational resources dynamically, ensuring that all of Zoox's software divisions can meet their computational needs effectively. You thrive in environments where you can take on end-to-end responsibilities, from initial design to deployment and maintenance of complex systems.

What you'll do

In this role, you will be responsible for designing and implementing a robust High-Performance Computing infrastructure that supports various machine learning applications across the company. You will collaborate closely with cross-functional teams to understand their computational needs and develop solutions that enhance their workflows. Your role will involve optimizing distributed systems to ensure they are scalable and efficient, allowing for seamless integration of machine learning models into production.

You will also focus on algorithmic job scheduling, ensuring that tasks are executed in an optimal order and that resources are utilized effectively. Your work will directly impact the performance of machine learning workflows, enabling faster data processing and model training. As part of your responsibilities, you will monitor system performance and make adjustments as necessary to maintain high availability and reliability.

What we offer

At Zoox, you will be part of a forward-thinking team that is dedicated to pushing the boundaries of technology in the autonomous vehicle space. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a collaborative environment where your contributions are valued and recognized, and you will have the chance to make a significant impact on the future of transportation.