Роль четко определена с акцентом на передовое машинное обучение в автономных автомобилях, а зарплата выше среднего по рынку, что делает эту вакансию привлекательной.
Высокая зарплата
Четкое определение роли
Инновационная компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Machine Learning Engineer (Simulation): Developing and scaling production-grade machine learning models to assess autonomous vehicle behavior with an accent on large-scale data systems and simulation workflows. Focus on building reward functions, integrating state-of-the-art ML into production, and improving the performance of the autonomous driving technology stack.
Location: Onsite in Mountain View, CA; San Francisco, CA; or New York City, NY
Salary: $251,000–$310,000 USD
Company
Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.
What you will do
Develop and deploy ML models to evaluate autonomous vehicle behavior.
Build and maintain robust ML infrastructure to support high-performance models.
Collaborate across cross-functional teams to bring state-of-the-art research into production systems.
Design and operate large-scale data systems and simulation workflows.
Combine expert human judgment with advanced ML models to deliver high-quality training data.
Requirements
BS in Computer Science, Robotics, Statistics, Physics, Math, or equivalent experience.
5+ years of experience building productionized ML models.
Proficiency in Python and C++ for production system design.
Strong background in applied Deep Learning.
Proven track record in improving model quality.
Nice to have
8+ years of experience building productionized ML models.
Experience in reinforcement learning or transfer learning.
Experience working with large-scale data and complex models.
Culture & Benefits
Participation in discretionary annual bonus program and equity incentive plan.
Comprehensive company benefits program.
Opportunity to work on cutting-edge autonomous driving technology.
Collaborative environment focused on safety and innovation.
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