Machine Learning Engineer - Generative AI

Overview

Join to apply for the Machine Learning Engineer - Generative AI role at Zoox .

The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions.

Responsibilities

• Define and execute the ML roadmap for synthetic data generation using generative AI, evolving both model and infrastructure to meet the training and evaluation needs of Zoox’s autonomous driving solution.
• Lead the development of generative models from small-scale objects to complete scenarios, from research to deployment.
• Design effective model architectures and sophisticated training techniques, leveraging inputs from our sensor stack and the overall large-scale data we have at Zoox.
• Collaborate with perception, planning, safety, simulation, and systems teams to integrate your models into our offline pipelines.
• Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system.

Qualifications

Bonus Qualifications

Compensation

Base salary range : $204,000 - $277,000 per year. Zoox also offers equity in stock options (RSUs) and other compensation components. A sign-on bonus may be offered. Compensation varies by location and level.

Benefits

Zoox offers a comprehensive benefits package, including paid time off (sick leave, vacation, bereavement), health insurance, long-term and short-term disability insurance, life insurance, and other benefits. Details may vary by location.

Details

Location

Foster City, CA

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