Rightmove jobs

Entelect - Data Entelect - Data

Senior Android Engineer (Apps) - 5000059 Senior Android Engineer (Apps) - 5000059

Senior BE Engineer (Conversational Search) – 5000025 *requires Python Senior BE Engineer (Conversational Search) - 5000025 *requires Python

Senior BE Engineer (Consumer Platform) - 5000102 Senior BE Engineer (Consumer Platform) - 5000102

Senior BE Engineer (Apps) - 5000104 Senior BE Engineer (Apps) - 5000104

Mid-level BE Engineer - Commercial (250378) Mid-level BE Engineer - Commercial (250378)

BE Engineer - Agent Select - 5000053 BE Engineer - Agent Select - 5000053

Senior Content Designer | MYMOVE Charlotte, NC This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Monday through Thursday) and work fully remotely on Fridays each week. We're seeking a Senior Content Designer to join our Creative team. You'll be part of a highly collaborative, creative, close-knit group that loves solving complex problems, building data-driven user experiences, and driving innovation and performance for the business. Moving is one of life's most stressful experiences-there are 100+ critical decisions that shape what comes next. At the heart of this journey is the USPS Change-of-Address (COA), a critical step we power through our exclusive relationship with USPS. We're transforming moving from stress into discovery-making it not just easier, but genuinely helpful to get to-dos done. You'll support a critical piece of that mission: helping users succeed in their moving journey. As Senior Content Designer, you'll lead content for USPS Change-of-Address and the MYMOVE platform that follows-an experience used by 24M+ movers every year. MYMOVE partners with national and regional brands across Retail and Home Services such as Kroger, Crate&Barrel, Spectrum and Wayfair. For the MyMove website click here . Curious how MyMove fits into Red Ventures? Click here . What You'll Do: Lead Content Strategy & Execution - Own content design and strategy across the end-to-end product experience - Create, maintain, and evolve internal guidelines and content systems aligned to brand pillars and business goals - Synthesize external guidelines from multiple partners into a seamless, unified

Senior Software Engineer, Data Infrastructure Mountain View, CA, USA 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 ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity. You will: - Develop and contribute to Waymo's data infrastructure platform to enable plant scale ML Flywheel at Waymo for all ML models via data store and data infra ecosystem. - Work closely with teams across Waymo both onboard & offboard ML models, including LLMs to understand the data needs, data distributions, data quality, data value, freshness and onboard these flywheels onto our planet scale data store. - Improve the efficiency of data storage, data sharing across

People Experience Partner Mountain View, CA, USA 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. 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 environment. We take our role as stewards of Waymo's culture seriously. In this hybrid role, you will report to one of our People Business Partners. You will: - Drive systemic resolution : Identify root causes of issues and build programs or custom solutions to fix them permanently, rather than just solving individual tickets. - Lead program enablement : Lead the rollout of new initiatives (e.g. ACED Performance Reviews, Compensation Planning) for your function, ensuring rigor, accuracy, and consistency. - Coach managers : Coach experienced managers through crucial and tough conversations, performance management friction, and team

Senior Program Manager - Ops Activation & Compliance London, England, UK 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 Regional Ops & Compliance - Market Entry senior program manager functions as the primary integration point for new international market entry, aligning global strategy with local execution requirements. This role serves as the authoritative lead for the international market or region, responsible for synthesizing complex inputs from operations, product, policy, and safety teams to ensure a unified launch. By acting as the single source of truth during the activation phase, this lead navigates dynamic regulatory environments and community nuances to translate local realities into actionable insights for global cross-functional and leadership teams. The core objective is to drive mission-critical readiness milestones and provide a clear framework for escalation and resolution, ensuring a seamless transition from initial market bring-up to stable, long-term commercial operations. You will: - Orchestrate

Senior Platform Engineer London About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up : with its own infrastructure, its own DevOps, and a high-autonomy operating model independent from Wayve's core engineering org. The Role We're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team. This is a broad, hands-on platform engineering role, not a narrow specialisation. You'll

Fleet Campaigns PgM San Francisco, CA, USA 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. Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate. In this hybrid role, you will report to a Fleet Manager You will: - Lead Campaign Planning & Readiness: Define campaign scope, objectives, and success metrics; build end-to-end execution plans including timelines, market sequencing,

Senior Software Engineer, Simulator Evaluation Mountain View, CA, USA; San Francisco, CA, USA 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. 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 looking for a Senior Software Engineer to build the metrics and systems that grade this hybrid environment. You will work at the intersection of software engineering and AI, ensuring that our simulated worlds-whether driven by explicit rules or foundation models-provide a trustworthy representation of reality. In this hybrid role, you will report to a Senior Staff Software Engineering Manager and define the "Yardstick of Reality" used to validate and train Waymo technology. You

Sr. Software Engineer, Marketplace ML Platform Mountain View, CA, United States 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 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 efficient, riders get fast pickups, and the AV network operates safely and profitably across cities. The Platform team is part of the Marketplace engineering: we provide specialized business platforms supporting Marketplace ML and Optimization products. We own and host core ML models used throughout the Marketplace; we automate all parts of the model life cycle, such as feature engineering, training workflows and inference services; we are working on next-generation Marketplace Simulation system capable to run high-fidelity virtual experiments; we also streamline diverse Marketplace Experimentation practices with the

Senior Site Reliability Engineer, Waymo Fleet Mountain View, CA, USA; San Francisco, CA, USA 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. Waymo's Software Reliability Engineers (SREs) are responsible for the stable operation of Waymo's fully autonomous systems and supporting infrastructure. As an SRE, you combine software and systems engineering techniques to build and run large-scale, fault-tolerant, reliable systems. You focus on optimizing existing systems, building new infrastructure, eliminating manual, error-prone or time-consuming work through automation, and ensuring products that are fast, efficient, and effective. This role follows a hybrid work schedule and reports to the Tech Lead Manager. You will: - Become a Waymo production expert, and collaborate with other engineers to build reliable systems for autonomous vehicle operations, including depot logistics, automation flow, and critical vehicle state infrastructure - Manage end-to-end availability and performance for core fleet services, ensuring we have enough usable vehicle supply

Senior Fullstack Software Engineer, Workshop Management San Francisco, CA, USA 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. Waymo's commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: - Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. - Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. - Collaborate with Product,

Staff TLM, Perception, Fine-Tuning & Model Releases Mountain View, California, United States; San Francisco, California, United States 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 Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with

Senior Software Engineer, Post-Training & RL Frameworks Mountain View, California 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 Waymo ML Frameworks & Efficiency team partners with Research and Production teams across Waymo to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including pre-training and post-training. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving. We are looking for engineers with ML system expertise to help us train and improve pre-trained models to be deployed into Waymo Driver, and potential future products. You'll work with researchers and modeling engineers across the company, and solve the challenges of large-scale reinforcement learning (RL), building systems that can scale across compute, data, and environments to improve model intelligence and understanding

Senior Software Engineer, Simulation, Vehicle & Autonomous Driving Realism Mountain View, CA, USA; San Francisco, CA, USA 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. The team is be a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including self driving vehicle simulation, realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars. Waymo's simulation allows the self driving software to be tested on millions of miles of traffic before they even hit the road. It is crucial to Waymo's mission of developing the world's

Senior Android Engineer, Growth Mountain View, CA, USA ; San Francisco, CA, USA 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. 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, drop-off and routing), Marketplace (booking, pricing, positioning, matching), and Partnerships / B2B(2C) monetization. The Growth team serves as the engine for rider acquisition, engagement and retention. We are responsible for driving incremental trips by bringing Waymo to new markets and demographics. You will: - Work on small teams that move at a high velocity to deliver new features and experiences to our users. For example, extend our homepage for personalized discovery, build a unified loyalty ecosystem, and drive seamless cross-surface experiences spanning mobile apps and the car. - Build key Android UX flows within the

Senior Software Engineer, Inertial Navigation Mountain View, California, US 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. Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. You will: - Develop algorithms to improve the accuracy and robustness of our core state estimation algorithm. - Engineer and deploy robust, production-quality C++ software to fuse data from inertial, GNSS, and other advanced sensors into our algorithm for both new and existing vehicle platforms. - Build and maintain tools, pipelines, and evaluation frameworks to rigorously assess positioning system performance across millions of miles of real-world driving data. - Leverage Waymo's massive datasets to

Staff TLM, Perception, Continuous Learning & Monitoring Mountain View, California, United States; San Francisco, California, United States 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 Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with

Senior Staff TLM, Data Mining and Sampling for ML and Evaluation Mountain View, California, United States; San Francisco, California, United States; New York City, New York, United States. 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 Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: - Develop tools for easy mining of novel situations that might impact safety from our driving logs