Эта роль предлагает высокую зарплату и сосредоточена на передовых технологиях ИИ в ведущей продуктовой компании, что делает её отличной возможностью для опытных инженеров.
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Высокая зарплатаПередовые технологииПродуктовая компанияГибридный формат
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Principal Software Engineer (AI): Leading the technical development of machine learning algorithms for the next-generation ML Planner with an accent on driving innovations in autonomy behaviors. Focus on pushing the frontiers of imitation learning, reinforcement learning, and model scaling in complex urban environments.
Location: Foster City, California, United States; hybrid workplace
Base salary: $340,000–$492,000 per year. Additional compensation may include Amazon RSUs, Zoox Stock Appreciation Rights, and a sign-on bonus.
Company
Zoox is developing a fully autonomous vehicle fleet and the supporting mobility-as-a-service ecosystem for urban environments.
What you will do
Set the technical direction for machine learning development for the future of the onboard Planner.
Develop machine learning models using imitation learning, reinforcement learning, and model scaling.
Drive improvements to ML metrics, data systems, and training frameworks.
Develop methods to integrate Zoox Foundation Models into the ML Planner.
Mentor ML developers and collaborate across Autonomy Software, Foundation Models, Perception, Simulation, System Design, and Safety Validation.
Prototype approaches that influence the long-term technical direction of multiple organizations and address autonomous driving in complex urban environments.
Requirements
Bachelor’s, master’s, or doctoral degree in computer science or a related field.
Proven technical leadership experience in large-scale AI organizations.
Significant experience training and deploying deep learning models to production.
Fluency in C++ or Python with a basic understanding of C++.
Extensive programming and algorithm design experience, strong mathematics skills, and 10+ years of experience.
Nice to have
Publications in machine learning or robotics conferences or journals.
Experience with prediction and planning for autonomous vehicles.
Culture & Benefits
Paid time off, including sick leave, vacation, and bereavement leave.
Unpaid time off and health insurance.
Long-term care, short-term and long-term disability, and life insurance.
Zoox Stock Appreciation Rights and Amazon RSUs.
Accommodation support is available during the application and interview process.
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