Waymo is hiring: Senior Machine Learning Engineer, Simulation in New York

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.

You will:

• Report into the TLM for the Learned Metrics Team
• Develop ML models that assess our autonomous vehicle's behavior.
• Develop ML infrastructure to support performant models.
• Collaborate across teams to bring state-of-the-art to production.

You have:

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
• 2+ years of experience building productionized ML models
• Code and design skills: comfort building production systems (Python / C++)
• Background in applied Deep Learning
• A track record in improving model quality

We prefer:

• 4+ years of experience building productionized ML models
• Experience in reinforcement learning, transfer learning, or learning.
• Experience with large scale data and models

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $204,000—$259,000 USD

In Summary: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver . The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals . The expected base salary range for this full-time position across US locations is listed below .

En Español:

Waymo es una compañía de tecnología de conducción autónoma con la misión de ser el conductor más fiable del mundo. Desde su inicio como Google Self-Driving Car Project en 2009, Waymo se ha centrado en construir el Waymo Driver - El Conductor Más Experimentado del Mundo - para mejorar el acceso a la movilidad mientras salva miles de vidas ahora perdidas por accidentes de tránsito.

El equipo de comprensión y evaluación del conductor en Waymo desarrolla un rico conocimiento sobre el comportamiento de Waymo Driver. Con más de 1 millón de millas sin conductor por semana, es fundamental que Waymo pueda entender y evaluar el comportamento de todos sus vehículos - tanto en el campo como en la simulación - con algoritmos automatizados.

Usted lo hará:

• Informe al TLM para el equipo de métricas aprendidas
• Desarrollar modelos ML que evalúen el comportamiento de nuestro vehículo autónomo.
• Desarrollar la infraestructura ML para apoyar modelos de rendimiento.
• Colaborar entre equipos para llevar el estado de la técnica a la producción.

Usted tiene:

• Licenciatura en Ciencias de la Computación, Robótica, Estadística, Física, Matemáticas u otro ámbito cuantitativo o experiencia laboral equivalente
• 2+ años de experiencia en la construcción de modelos ML producidos
• Habilidades de código y diseño: sistemas de producción para edificios confortables (Python / C++)
• Antecedentes en el aprendizaje profundo aplicado
• Un historial en la mejora de la calidad del modelo

Nosotros preferimos:

• 4+ años de experiencia en la construcción de modelos ML producidos
• Experiencia en el aprendizaje de refuerzo, transferencia o aprendizaje.
• Experiencia con datos y modelos a gran escala

El rango de salario básico esperado para este puesto a tiempo completo en todas las ubicaciones de los Estados Unidos se enumera a continuación.

Los empleados de Waymo también son elegibles para participar en el programa de bonificaciones anuales discrecionales, plan de incentivos por capital y generoso programa de beneficios a la empresa.

Rango salarial de $204,000 a $259,000 USD