Waymo
Technology
SeniorMachineLearningEngineer,SimulationEvaluation
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer, Simulation Evaluation at Waymo. Skills: Machine learning, Generative AI, Simulation evaluation, Deep learning. Lead design, development, and deployment of evaluation approaches. Assess realism of multimodal world models”
Industry & Context.
Mathematically prove world is real
What They're Looking For.
Must Have
Bachelor's, Master's, or PhD in computer science, machine learning, robotics, or a related field, Five or more years of experience in machine learning engineering or applied deep learning, Proficient programming skills in Python, Hands-on experience with modern machine learning frameworks, Experience designing and implementing evaluation frameworks for complex systems or machine learning models
Nice to Have
Track record of training large-scale generative models, PhD and demonstrated success delivering ML products focused on 3D generative models, world models, or video generation, Experience simulating sensor data, Experience modeling semantic scenes, Experience developing autonomous systems, Experience developing robotics software, Experience developing autonomous vehicle simulations, Experience training and optimizing large-scale models on GPU or TPU clusters, Professional experience writing C++ for high-performance production systems
What You'll Do.
and deployment of evaluation approaches
Assess realism of multimodal world models
Assess realism of generative systems
Architect and implement ML pipelines
Evaluate ML pipelines
Evaluate video generation techniques
Apply vision language models
Evaluate semantic understanding
Evaluate controllability
Integrate advancements in 4D world modeling
Integrate advancements in generative AI
Provide technical guidance
How You'll Work.
Team & Collaboration
Research teams across Waymo; Research teams across Alphabet
Full Job 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 Challenge Waymo’s simulator is one of the most complex virtual environments ever built. It blends deterministic logic, physical dynamics, and state-of-the-art Generative AI to create a training ground for the Waymo Driver. The Simulator Evaluation team faces the ultimate data challenge: How do you mathematically prove that a virtual world is "real"? We are seeking visionary machine learning engineers and researchers to architect the scalable deep learning systems, novel data workflows, and eval tools that power our research roadmap. In this role, you will pioneer the machine learning and generative vision paradigms required to define and measure the realism of our multimodal world models. Your work will define the state of the art for autonomous simulation, directly steering our research trajectory and the capabilities of the Waymo Driver. You will: Lead the design, development and deployment of cutting-edge evaluation approaches to assess realism of state-of-the-art multimodel world models and generative systems for simulation use cases at Waymo. Architect and implement robust and scalable machine learning pipelines for tuning, evaluating, and deploying large-scale discriminator models for the purposes of simulator realism evaluation. Evaluate open-source and production-re
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