Senior Machine Learning Engineer - Perception at Waymo

Waymo, an innovative leader in autonomous driving technology, is on a mission to redefine mobility by creating the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and preventing traffic-relat…

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we strive to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and a track record of over 100 million miles driven autonomously on public roads, backed by tens of billions of miles in simulation across more than 15 U.S. states, we are committed to safety and innovation.Our Systems Engineering team is integral to merging software and hardware systems in innovative ways. We set rigorous performance standards to ensure the seamless operation of our vehicles and the safety of our passengers, crafting and executing tests to validate these standards. We are seeking passionate individuals who excel in collaboration and are dedicated to achieving results.This position follows a hybrid work model and reports to a Staff Systems Engineer.

Company OverviewAt Matic Robotics, we are dedicated to transforming the way people manage household chores, reclaiming the 2.5 trillion hours spent on such tasks every year through innovative home robotics.Our flagship product, the Matic cleaning robot, employs advanced spatial AI technology, including real-time 3D mapping and adaptive path tracking, allowing it to autonomously navigate and clean homes with precision. Designed to function with just RGB cameras and on-device neural networks, Matic is built for real-world efficiency.Privacy is paramount at Matic. Our robots operate with a 'privacy-first' approach, processing all data on-device instead of relying on the cloud.We believe in a progressive evolution of home robotics, starting with specialized robots that gradually evolve into more complex systems.Matic fosters a collaborative and dynamic work culture, where our passionate team is committed to creating cherished products that save time and enhance everyday living.About the RoleWe are seeking a driven and innovative Perception Engineer to join our team and make a significant impact from the outset.Key ResponsibilitiesTranslate complex real-world challenges into well-defined machine learning tasks.Develop and implement cutting-edge computer vision algorithms.Create novel neural network architectures tailored for robotic applications.Design and execute robust 3D geometry-based vision algorithms.Establish scalable machine learning infrastructures for large datasets, ensuring reproducibility.Analyze outputs and continuously optimize algorithm accuracy and efficiency.Deploy machine learning models on edge devices without compromising performance.Contribute to achieving Level 5 autonomy in consumer robotics.Collaborate across interdisciplinary teams, including Hardware, Electrical, and Systems Engineers.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips facilitated, our technology has driven over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.The Perception team is responsible for designing systems that learn spatial-temporal representations and their semantic meanings within the self-driving car's environment. We collaborate with downstream teams for optimization and integration into the Waymo Driver. Our research addresses real-world challenges while working alongside Alphabet's research teams. By utilizing millions of miles of driving data from diverse sensors, engineers are empowered to (1) create efficient learning methods from large-scale real-world data, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage the complexities of real-world interactions, and (4) optimize models for both our onboard and offboard hardware.In this hybrid role, you will report directly to a Senior Staff Technical Lead Manager.

Join logos-space as a Lead Engineer specializing in Flight Software Development. In this critical role, you will spearhead the design, implementation, and testing of cutting-edge software solutions that drive our innovative flight technologies. You will collaborate with cross-functional teams to ensure the highest standards of safety and performance are met in our aerospace applications.

Harness is at the forefront of AI-driven software delivery, founded by technologist and entrepreneur Jyoti Bansal, who previously founded AppDynamics, which was acquired by Cisco for an impressive $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, Harness is supported by top investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In a landscape where AI is revolutionizing code generation, the focus has shifted to enhancing the post-code processes, including testing, deployments, application security, reliability, compliance, and cost management. Harness leverages AI and automation to streamline this "outer loop" of software delivery, empowering teams to accelerate their software releases while ensuring robust security and governance throughout the entire lifecycle. Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls seamlessly. Over the past year, Harness has facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, managing $2.8 billion in cloud expenditure. Our clients, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, reduced cloud costs by as much as 60%, and achieved an impressive 10x efficiency in their DevOps practices. With a diverse global team spread across 14 offices in 25 countries, Harness is poised to redefine the future of AI software delivery, and we are eager to welcome exceptional talent to propel us forward.

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics. Our innovative transportation-as-a-service (ATaaS) solution is redefining the B2B supply chain by ensuring safe, reliable deliveries and optimizing freight movement to decrease congestion. With a focus on short-haul logistics for Fortune 500 retailers, we pioneered the world's first fully driverless commercial transportation service with Walmart in 2021. Our Class 3-7 autonomous trucks are actively utilized in key markets including Texas, Arkansas, and Ontario, Canada, driving significant advancements in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to transport freight securely and efficiently between pick-up and drop-off points on the middle mile. With capabilities in both highway and urban settings, Gatik Carrier™ is a comprehensive solution that seamlessly integrates advanced software and hardware, empowering our customers' logistics operations.About the RoleWe are seeking passionate Staff Engineers with proficiency in classical and contemporary computer vision techniques to spearhead or contribute significantly to the architecture, design, implementation, and deployment of a multi-modal perception system. The ideal candidate will possess extensive software expertise, having navigated the journey from R&D to product launch, and will have a strong commitment to leading teams and crafting real-world solutions. This position is based in our Mountain View, CA office.

Waymo, a leader in autonomous driving technology, aims to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to creating the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility accessibility while significantly reducing traffic-related fatalities. Our technology powers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. The Waymo Driver has successfully completed over ten million rider-only trips, supported by extensive real-world driving data accumulated over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.The Perception team is instrumental in developing the system that interprets the spatial-temporal representation and semantic meanings of the car's surroundings. Our collaboration extends to downstream teams for optimization and integration into the Waymo Driver. Engaging in innovative research, we tackle real-world challenges and partner with research experts at Alphabet. With access to millions of miles of diverse sensor data, our engineers focus on developing scalable learning methods from large-scale real-world data, model training, behavioral analysis, and optimization for both onboard and offboard hardware.In this hybrid position, you will report directly to a Staff Technical Lead Manager.

At Waymo, we are pioneering autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission has been to create the Waymo Driver—The World’s Most Experienced Driver™. This advanced technology aims to enhance mobility access while significantly reducing the number of lives lost in traffic accidents. The Waymo Driver currently powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips completed, our system has amassed experience from autonomously driving over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.The Perception team is responsible for developing the systems that learn the spatial-temporal representations and their semantic meanings within the car's environment. Our collaborative efforts with downstream teams focus on optimizing and integrating these systems into the Waymo Driver. We conduct groundbreaking research to tackle real-world challenges and partner with research teams at Alphabet. Leveraging millions of miles of driving data collected from diverse sensors, our engineers are empowered to (1) develop methodologies for efficient and continuous learning from large-scale real-world data, (2) design and train models at scale, (3) analyze real-world behaviors and build systems to navigate complex real-world interactions, and (4) optimize our models for both onboard and offboard hardware.In this hybrid role, you will report directly to a Senior Staff Technical Lead Manager.

Waymo is pioneering the future of autonomous driving with a commitment to being the world’s most trusted driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to creating the Waymo Driver—the world's most experienced driver. This innovation aims to enhance mobility access while drastically reducing traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail services and is adaptable to various vehicle platforms and applications. With over ten million rides provided and an extensive driving experience accumulated over 100 million miles on public roads, plus tens of billions of simulated miles across more than 15 U.S. states, we are setting the standard for safety and reliability in transportation.We are on the lookout for an accomplished Technical Lead Manager (TLM) to guide our Vehicle Understanding team. In this pivotal role, you will oversee the production modules pertinent to Vehicle Understanding for the Waymo Driver. This encompasses the fine-grained classification of vehicles (e.g., emergency, railed, construction, towing), their states (e.g., warning, temporal blockage, active loading/unloading), and their intents (e.g., lane changes, stalled/slow vehicles, double-parking, unparking). As a key player in Waymo's expansion both domestically and internationally, your contributions will have an immediate impact on enhancing the generalizability of the Waymo Driver.In this hybrid position, you will report directly to our Senior Staff TLM of Semantics Understanding.

ID.me seeks a Principal Technical Lead Manager to guide two core engineering teams: Organization Platform and Data Acquisition & Normalization. This leadership role is based in Mountain View, California. Role overview The Principal Technical Lead Manager will shape how organizations are represented, validated, and trusted within the ID.me Identity Trust Graph. The position also oversees management of attribute data that supports trust decisions across the platform. Organization Platform This team is responsible for building and maintaining APIs and services that create, validate, and manage organization records. Key areas include application management, domain verification, business onboarding, and managing relationships between organizations. Their work enables developer portal adoption, partner integrations, and supports downstream identity workflows by providing an authoritative source for business and institution representation. Data Acquisition & Normalization This group develops connectors to authoritative and commercial data sources, such as government registries, telecom providers, and licensing authorities. The team standardizes varied data into common schemas and integrates validated attributes into the trust graph at internet scale. What you will do Oversee technical architecture, delivery, reliability, and operational health for both the Organization Platform and Data Acquisition & Normalization teams. Support the growth and performance of engineering teams working on these platforms. Work closely with Product and other stakeholders to ensure alignment and successful outcomes. This position is located in Mountain View, California.

Waymo is at the forefront of autonomous driving technology, aiming to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce the tragic loss of life due to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips and extensive experience driving autonomously over 100 million miles on public roadways, complemented by tens of billions of miles in simulations across 15+ U.S. states, we are leading the way in this transformative field.The Perception team is responsible for creating the systems that learn the spatial-temporal representations and semantic meanings of the self-driving car's surroundings, effectively enabling the car to 'perceive' its environment. We collaborate closely with downstream teams to optimize and integrate our findings into the Waymo Driver. Our research tackles real-world challenges, leveraging vast amounts of driving data from diverse sensors. As part of our team, you will work on methods for continuous learning from large-scale real-world data, model development and training at scale, behavioral analysis, and system optimization for both onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

P-1125 Summary At Databricks, we are committed to empowering data teams to tackle the world’s most challenging issues, from detecting security threats to advancing cancer drug development. Our mission involves constructing and operating the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges that define their objectives. Our engineering teams create sophisticated products that meet significant real-world needs. We continually push the frontiers of data and AI technology while ensuring resilience, security, and scalability—key elements for our customers' success on our platform. Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to crafting the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data against malicious actors. We seek visionary leaders to shape the strategy and direction of this critical area. The impact you will have: Enhance the security of Databricks for our clients by identifying and addressing vulnerabilities within our infrastructure and services. Attract elite talent from across the industry. Serve as a prominent advocate for the security engineering discipline throughout the organization, making data-driven decisions. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 10 years of experience in Data Security or related fields, with expertise in two or more of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Proven experience in building systems at large-scale internet companies is a significant advantage.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been on a mission to develop the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and prevent the thousands of fatalities caused by traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With more than ten million rider-only trips completed, our technology has successfully navigated over 100 million miles on public roads and simulated tens of billions of miles across more than 15 U.S. states.The Perception team is responsible for creating the systems that learn the spatial-temporal representation and semantic meanings of the environment surrounding the autonomous driving vehicle (ADV). Our work involves close collaboration with downstream teams to optimize and integrate these systems into the Waymo Driver. We actively conduct research to solve real-world challenges and partner with research teams at Alphabet. With access to millions of driving data miles collected from a variety of sensors, our engineers have the opportunity to (1) devise methods for continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior and develop systems to manage complex interactions with the environment, and (4) refine models for our onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Waymo is a pioneering autonomous driving technology company with a vision to become the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost in traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and product use cases. To date, the Waymo Driver has successfully completed over ten million rider-only trips, backed by its extensive experience of autonomously navigating over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Perception team is responsible for creating the systems that interpret spatial-temporal representations and their semantic meanings of the environment surrounding the self-driving car. We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our team conducts innovative research to solve real-world challenges and partners with research teams at Alphabet, leveraging millions of miles of driving data from a diverse range of sensors. This enables our engineers to (1) devise methods for continuous learning from large-scale real-world data, (2) design and scale model training, (3) analyze real-world behavior and develop systems for managing real-world complexities, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

Waymo is a pioneering autonomous driving technology firm on a mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver serves as the backbone for our fully autonomous ride-hail service and has the potential to be integrated across various vehicle platforms and applications. With over ten million rider-only trips facilitated by its extensive experience of more than 100 million miles driven autonomously on public roads and tens of billions of miles in simulation across over 15 U.S. states, Waymo is at the forefront of autonomous technology.At Waymo, machine learning models form the essence of our fully autonomous driving capabilities. These models empower the Waymo Driver to interpret its surroundings, make accurate decisions, and transport individuals safely to their destinations. We tackle intricate technical challenges in perception, planning, and control, collaborating closely with hardware and systems engineers. If you are passionate about Level 4 autonomous driving, we would love to connect with you.As an intern at Waymo, you will collaborate with industry leaders on impactful projects that contribute significantly to our mission. We believe in a reciprocal learning experience: you will apply your expertise while gaining opportunities to expand your skill set. Interns are integral to our culture and serve as a vital part of our talent pipeline. Join Waymo for an engaging and fulfilling internship experience!This internship will be conducted on-site at our headquarters in Mountain View, CA.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce the number of lives lost to traffic accidents. The Waymo Driver underpins our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and billions in simulation across over 15 U.S. states.The Perception team is responsible for creating systems that learn the spatial-temporal representation and semantic meanings of the self-driving car's environment. Our work involves close collaboration with downstream teams for optimization and integration with the Waymo Driver. We engage in innovative research to tackle real-world challenges while partnering with Alphabet's research teams. With access to extensive driving data from diverse sensors, our engineers are equipped to (1) devise methods for continuous learning from vast real-world datasets, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage complex interactions, and (4) optimize models for both onboard and offboard hardware.Within the Perception domain, our Sensor Pipelines team addresses a variety of real-world challenges beyond mere object detection, including weather conditions, road surface understanding, visibility, and the identification of exceptional events surrounding the vehicle. These pipelines encompass a wide range of sensing technologies while integrating throughout the Perception stack and collaborating with planning components.In this hybrid role, you will report to a Director and lead a team of engineers dedicated to Perception machine learning pipelines.Your Responsibilities:Oversee large teams of software engineers tackling diverse Perception product challenges through machine learning, focusing on team development and recruitment to foster resilient, high-performing teams.Guide the team in designing top-tier machine learning solutions in partnership with Technical Leads, nurturing an environment of excellence and high achievement.Act as the team's representative within the broader Perception and Onboard group, collaborating with other leaders on staffing and strategic planning. Establish team Objectives and Key Results (OKRs) and formulate actionable plans to achieve them.

Waymo, a leader in autonomous driving technology, is on a mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications, having successfully completed over ten million rider-only trips while autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.Our Hardware Engineering team comprises a vibrant mix of electrical, mechanical, reliability, software, and vehicle engineers. We are responsible for designing, building, and refining the products that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into vehicle platforms. We are looking for innovative and talented individuals to join us on this exciting journey.The Embedded Simulation team is critical to Waymo’s rapid scaling of the Waymo Driver across new vehicle and hardware platforms, as well as accelerating the development of our embedded and reliability software systems. We create tailored test environments for embedded and hardware applications and incorporate our technology into comprehensive system behavioral simulations.In this role, you will report to the Senior Director of R&D Software Engineering.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

At Intrinsic Robotics, part of Google’s AI robotics division, we are redefining the future of industrial robotics through cutting-edge advancements in AI, perception, and simulation. Our mission is to make intelligent robotics accessible to countless businesses, entrepreneurs, and developers. Our dedicated team of engineers, roboticists, designers, and technologists is committed to unlocking the economic and creative potential of industrial robotics.Role OverviewAs the Technical Lead Manager for the Extensibility Squad, you will play a pivotal role in enabling software developers to leverage the Intrinsic platform APIs and utilize our tools to enhance Flowstate. You will lead an engineering team focused on improving our platform's software accessibility for external users, while also fostering close collaboration with ROS and other open-source ecosystems. This position requires a blend of technical leadership, hands-on contribution, and people management, where you will guide the technical direction, mentor your team, and work directly with our SDK, primarily using C++, Python, Protobuf, and a growing TypeScript codebase.Impact of Your WorkEmpower developers by enhancing their access to the Intrinsic platform APIs and tools for Flowstate.Lead initiatives to improve software accessibility for external users.Drive technical integration with ROS and other open-source platforms.Mentor and support engineers in their professional growth while actively contributing to projects.