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In this hybrid role, you will report to an Engineering Manager - 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 s
The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models
TaaS (Transportation as a Service) is responsible for building an amazing user experience and business around the Waymo Driver. We are responsible collectively for Growth, Territory Expansion, Service Quality (including pickup, dropoff and routing), Marketplace (pricing, position
The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic con
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream
Waymo's core business scale is bottlenecked by improving long tail behaviors. The growth in vehicles, platforms, geos (e.g. international), and ODD (e.g. weather) creates a huge set of new problems that we have to solve quickly. The methodical process of building driving sets and
This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Machine Learning Performance team. - Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance issues during other ML software development - Partn
As a Perception Machine Learning Engineer, you will build the intelligent systems that "see" the world, directly shaping the future of autonomous travel. Within the Perception team, we are tackling some of the most complex, open-ended challenges in autonomous driving. Our models
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate an
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream
The Marketplace team builds the core decision systems that keep Waymo running smoothly. They design the algorithms that match riders to vehicles, optimize routing, balance supply and demand, forecast rider demand, and power dynamic pricing. Their work ensures the fleet stays effi
The Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments for the testing and training of the Waymo Driver. To increase the fidelity and
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve com
In this role, you will report to a Hardware Engineering Manager. - Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance - Architect, simulate and design amazing machine learning solutions for our autonomo
Waymo’s People team recruits and supports the world’s best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environmen
The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. W
The Simulation 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-le
In Semantics, our team's mission is to create the highest-fidelity, most comprehensive offboard perception autolabels at a massive scale, serving as the foundation for training and validating the AV stack. We are an advanced ML and engineering team that leverages state-of-the-art
This role follows a hybrid work schedule and you will report to a Software Engineering Manager. - Leverage agentic AI to accelerate analysis, planning and implementation of production software improvements - Analyze the performance characteristics of code generated by our produ
Eli Health is making continuous hormone monitoring possible so users can support their daily and long-term health. No more waiting days to track key biomarkers—get results you can use within minutes. Eli’s flagship product, Hormometer™, is the first instant hormone monitoring pla