Technical Lead Manager, Simulation Realism at WAYMO LLC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

356000.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Robotics, Data Curation, Reinforcement Learning, Model Scaling, Python, Numpy, Jax, Pytorch, Communication, Collaboration, Supervised Fine-Tuning, World Modeling, Technical Leadership, Evaluation, Algorithms

Industry

technology;Information and Internet

Description

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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions. To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundational World Model trained on our datasets, world understanding and reasoning capabilities for tail cases, and reinforcement learning for long term credit assignment. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple counterfactual scenarios to rigorously test our autonomous driving systems. You will: Plan and execute a bold agenda in adapting foundation world models for key simulation needs Partner across organizations to land disruptive tech in production Incorporate and extend cutting edge research in world modeling/machine learning and robotics to advance the state of the art for world simulation. This may include: Data curation, supervised fine-tuning, alignment, reasoning, and controllability Reinforcement learning - Reward, Critic, RL algorithms Model scaling, distillation, multi-task learning, representational learning Design and drive model quality with metrics first approach Manage and technically lead a team of ML engineers as they grow in their careers You have: Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience Experience filtering and applying SOTA ML techniques in an applied ML environment and effectively landing impact in production Management experience with a team size of 5+. Hands-on experience with an ability to technically lead ICs daily, including knowledge of the codebase, eval and data pipelines, model, and algorithms. Proficiency in Python, Numpy, and Jax or Pytorch Strong communication and collaboration skills with both research and product teams We prefer: Masters or PhD, preferably in Machine Learning domain Proficiency in C++ Experience in AV planning and applied machine learning Experience in working on production validation system and understanding key data techniques/components (ex. Importance sampling, statistics, counterfactuals) 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 $281,000—$356,000 USD

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Responsibilities

You will plan and execute a bold agenda in adapting foundational world models for key simulation needs and partner across organizations to land disruptive tech in production. Additionally, you will manage and technically lead a team of ML engineers as they grow in their careers.