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AI Inference Engineer - Model Optimization & Deployment

ZooxFoster City, CA
On-site Full-time

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Experience Level

Experience

Qualifications

Ideal candidates will hold a Bachelor’s degree in Computer Science, Engineering, or a related field. Proficiency in machine learning frameworks such as TensorFlow or PyTorch, along with experience in model optimization techniques is essential. Familiarity with deployment strategies in cloud environments, strong programming skills in Python, and a solid understanding of AI algorithms will set you apart. A passion for innovation and a collaborative mindset are crucial.

About the job

Join Zoox as an AI Inference Engineer specializing in Model Optimization & Deployment, where you will play a vital role in advancing our cutting-edge autonomous vehicle technology. You will be responsible for optimizing AI models to ensure efficient deployment and high performance in real-world scenarios. Your expertise will help shape the future of mobility.

About Zoox

At Zoox, we are pioneering the future of autonomous vehicles. Our mission is to create a safe and efficient transportation ecosystem that enhances urban mobility. As a part of our team, you will work alongside experts in AI and robotics, contributing to groundbreaking projects that redefine how people move.

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