Zoox logoZoox logo

Machine Learning Engineer - Multi-Modality Foundation Model

ZooxFoster City, CA
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Experience

Qualifications

Ideal candidates will possess a strong background in machine learning and data science, with experience in developing models for multi-modal data. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) are essential. Strong analytical skills and the ability to work collaboratively in a fast-paced environment are also important.

About the job

Join Zoox as a Machine Learning Engineer specializing in Multi-Modality Foundation Models. In this exciting role, you will leverage advanced machine learning techniques to develop innovative models that can process and analyze diverse data types. Your contributions will help shape the future of autonomous mobility by enhancing the capabilities of our cutting-edge technologies.

About Zoox

At Zoox, we are redefining transportation with our revolutionary autonomous vehicle technology. Our mission is to create a fully autonomous vehicle that is designed from the ground up for safety, efficiency, and sustainability. Join our team of innovators and be part of a culture that values creativity, collaboration, and groundbreaking ideas.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.