Senior Staff II, Machine Learning Engineer (Tech Lead)

Coupang is hiring a Senior Staff II, Machine Learning Engineer (Tech Lead) for the Search team in Mountain View, USA. This position centers on building and enhancing the core technology behind search for one of South Korea’s largest e-commerce platforms. Role overview This role focuses on designing, developing, and refining machine learning systems that dire…

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 initiated in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver 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 technology has driven more than 100 million miles on public roads and simulated billions of miles across 15+ U.S. states.The Perception team is responsible for building systems that learn spatial-temporal representations and their semantic meanings in the environment surrounding an autonomously driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research addresses real-world challenges, leveraging access to extensive driving data from diverse sensors. This empowers our engineers to develop efficient methods for continuous learning from large-scale real-world data, create scalable models, analyze real-world behaviors, and optimize systems for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our mission has been to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, our cutting-edge autonomous technology, powers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, our system has been tested extensively, further driving our commitment to safety and innovation.The Driver Understanding and Evaluation (DUE) Machine Learning team is tasked with developing and managing scalable machine learning and data systems, enhancing our simulation workflows and analytical tools, and refining the evaluation processes for developer onboarding. This team merges expert human insights with advanced machine learning techniques to provide robust training and evaluation data for the myriad metrics and components that define the Waymo Driver. We seek talented researchers and software engineers who are enthusiastic about pioneering machine learning approaches for our evaluation systems, driving continuous improvements in our technology stack.Key Responsibilities:Develop a comprehensive strategy for next-generation, machine learning-based evaluation metrics while ensuring scientific and statistical rigor across our AI applications.Design and implement scalable systems for training and fine-tuning large-scale generative models to simulate realistic driving behaviors.Lead efforts in creating, implementing, and iterating innovative reinforcement learning (RL) algorithms and reward functions tailored to generate high-fidelity driving behaviors.Oversee the development of advanced Deep Learning models and Generative AI solutions to enhance triaging processes, automate high-volume workflows, and perform nuanced analyses of self-driving behaviors to identify critical anomalies.Stay informed on best practices within Alphabet and the broader industry to develop a state-of-the-art Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.Provide mentorship, guidance, and thought leadership to engineers within the team and across collaborative groups.Coordinate and align multiple teams—including Driver Understanding, Simulation, System Engineering, Research, and Onboard Software—to ensure cohesive evaluation methodologies.

About NuroNuro is pioneering self-driving technology with a vision to make autonomy universally accessible. Established in 2016, we are committed to developing the most scalable driving solution, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from numerous self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewAs a Lead Machine Learning Research Scientist, you will collaborate with our autonomy teams to address complex perception, prediction, and planning challenges using innovative machine learning techniques. This includes working with foundation models, multi-modal large language models, generative models, out-of-distribution detection, imitation learning, and reinforcement learning. If you thrive on tackling challenging problems and translating solutions into real-world applications, we invite you to join our team!Key ResponsibilitiesResearch and implement cutting-edge machine learning techniques.Address state-of-the-art perception, prediction, and planning issues within our autonomy system.Develop and optimize efficient ML data pipelines.Provide technical leadership and mentorship to a diverse team.Deploy autonomous software solutions on public roads.

About Bespoke LabsBespoke Labs is a leading applied AI research lab at the forefront of data and reinforcement learning (RL) environment curation for training and evaluating intelligent agents. We have recently curated Open Thoughts, recognized as one of the premier open reasoning datasets utilized by numerous advanced research labs. Our innovations include the development of state-of-the-art models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, alongside training agents to effectively perform multi-turn tool calling through reinforcement learning.Bespoke Labs is uniquely positioned to capture a significant market share in the realm of data and RL environment curation.About The RoleWe are seeking an RL Environment Research Engineer to propel our efforts in crafting, assessing, and benchmarking training environments for AI agents. You will devise systematic methodologies for environment design, pinpoint agent failures, and transform those insights into high-quality training data and benchmarks.This position marries research intuition with practical execution. A deep understanding of agent behavior is essential—identifying reward hacking, analyzing failure modes, and discerning why certain environments yield superior training outcomes. You will convert this understanding into repeatable processes and benchmark suites that can be externally showcased.You thrive on both analytical tasks (reviewing agent rollouts, uncovering patterns in failures) and creative endeavors (designing environments, establishing evaluation pipelines). You can oscillate between exploring the science behind effective environments and actually producing them at scale.What You'll DoDevelop systematic strategies and frameworks for creating high-quality RL environments that proficiently train and evaluate agents.Investigate how large language models (LLMs) and agents fail across various task types, identifying patterns that inform superior environment design.Create benchmark environments that assess specific agent capabilities, preparing them for external release on our evaluation platform.Validate environment quality through hands-on testing—training small-scale agents, checking for reward hacking, and scrutinizing training dynamics.

About UsNuro is a pioneering self-driving technology firm committed to making autonomy accessible to everyone. Established in 2016, we are developing the world's most scalable autonomous driver by integrating advanced artificial intelligence with automotive-grade hardware. Nuro licenses its proprietary technology, the Nuro Driver™, for diverse applications including robotaxis, commercial fleets, and personal vehicles. With years of proven technology through self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more interconnected future.Role OverviewAs a Staff ML Research Scientist, you will collaborate with our autonomy teams to tackle perception, prediction, and planning challenges using innovative machine learning techniques. Your expertise in foundation models, multi-modal LLMs, generative models, out-of-distribution detection, imitation learning, and reinforcement learning will be invaluable. If you are passionate about solving complex problems and eager to see your solutions implemented in real-world scenarios, we invite you to join our team!Key ResponsibilitiesConduct research and apply cutting-edge machine learning methodsAddress state-of-the-art challenges in perception, prediction, and planningDevelop and optimize efficient ML data pipelinesLead and mentor a diverse team of professionalsProduce and deploy autonomous software for public deployment

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission focuses on creating the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access and significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving autonomously for over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are committed to transforming the future of transportation.The Simulator Team at Waymo is at the forefront of innovation, developing advanced simulations that replicate realistic environments for the testing, training, and validation of the Waymo Driver. Our team comprises a diverse, collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers, who are dedicated to crafting industry-leading simulation solutions. Utilizing cutting-edge generative and reconstructive ML algorithms, we model the real world, including realistic agents, road systems, traffic dynamics, weather conditions, and a comprehensive sensor suite (Camera, Lidar, Radar).In this exciting role, you will be instrumental in enhancing the fidelity, scalability, controllability, and richness of our simulations by exploring the latest advancements in 3D world modeling. By leveraging state-of-the-art ML technologies trained on extensive datasets, you will help us create dynamic, semantically rich virtual worlds that have a direct impact on the development and validation of the Waymo Driver.You will report directly to a Senior Staff Engineering Manager.Responsibilities:Lead the design, development, and deployment of innovative 4D world models and generative systems aimed at generating ultra-realistic and controllable sensor outputs and semantics for simulation applications at Waymo.Architect and implement scalable, robust ML pipelines for the training, evaluation, and deployment of large-scale generative models within our simulation framework, employing techniques like model distillation and quantization.Develop and scale production-ready video generation methodologies (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.Utilize Vision Language Models (VLMs) to enhance semantic comprehension and control within our world simulation products.Collaborate with leading research teams across Waymo and Alphabet to integrate state-of-the-art research in 4D world modeling and generative AI into scalable, production-ready solutions.Provide mentorship and technical guidance to fellow engineers on the team.

Join Waymo as a Tech Lead Manager for Machine Learning Optimization, where you will spearhead innovative projects to enhance our self-driving technology. In this role, you will lead a team of talented engineers and data scientists, guiding the development of advanced algorithms and optimization techniques that drive performance and reliability. You will collaborate with cross-functional teams to ensure the successful integration of ML models into our systems, pushing the boundaries of autonomous vehicle technology.

Who We AreNuro is at the forefront of self-driving technology, dedicated to making autonomy accessible for everyone. Founded in 2016, we are developing the most scalable autonomous driving system, merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer and more connected future.About the RoleThe Prediction team is tasked with leveraging cutting-edge machine learning techniques to enhance the functionality of the Nuro Driver. As a pivotal member of the Prediction and Smart Agents team, your role will center on developing state-of-the-art models that predict the behavior of surrounding traffic, which are integral to our autonomous systems. These models will be utilized both on-board and off-board in realistic closed-loop simulations.In this position, you will delve into innovative machine learning approaches to address complex challenges in autonomous driving. Your work will involve employing generative sequence modeling techniques to accurately predict intricate, interactive traffic scenarios. This necessitates a deep understanding of the intentions of other road users and their impact on safe driving decisions. You will also explore diverse input modalities, including End-to-End (E2E) strategies, to forecast the behavior of other agents. A crucial aspect of this role is the creation of intelligent, controllable agents to facilitate effective closed-loop training within simulations.If you are driven by the challenge of solving complex problems, leading impactful research, and witnessing your contributions in real-world applications, we invite you to apply!About the WorkDesign and develop scalable, machine learning-based prediction systems to generate multi-modal, realistic, and kinematically feasible trajectories.Engage in pioneering research focused on generative sequence modeling and sequential decision-making, exploring areas such as:Scalable generative sequence modeling techniques.Modeling marginal, conditional, and joint distributions for interactive agents.Transformer-based encoder-decoder frameworks.Large generative models and diffusion techniques.Agent controllability through conditioning, guidance, and various methodologies.Collaborate closely with the Planning team to create realistic and controllable agents that enhance our simulation capabilities.

Who We AreAurora Innovation is on a mission to revolutionize transportation by making self-driving technology safe, efficient, and widely accessible.Meet the Aurora Driver — a transformative step toward a future where mobility and logistics are safer and more effective for everyone. At Aurora, you will face complex challenges alongside a team of dedicated and intelligent professionals, allowing you to grow your expertise and broaden your knowledge base. Stay updated with the latest from Aurora by visiting aurora.tech or by following us on LinkedIn. We are seeking a talented Manager of Map Production to lead a vital function within our Mapping Operations team. This position involves overseeing a group of subject matter experts dedicated to delivering high-quality map annotations, enforcing policies, and resolving escalations while enhancing performance and efficiency across a diverse international vendor network.The ideal candidate will possess a robust background in operational leadership, process optimization, and performance management. You will be instrumental in creating scalable workflows, establishing comprehensive documentation and standards, and leveraging data to drive continuous improvements in production performance.In this role, you will:Mentor and develop a team of 8-10 skilled Operators through coaching, ongoing performance evaluations, and career development initiatives.Cultivate a culture of accountability, operational excellence, and persistent improvement.Manage the performance of a large, globally distributed workforce using data-driven management systems and standardized operating procedures.Ensure production targets for throughput, quality, and productivity are established and consistently achieved.

About UsGatik is a pioneering company in autonomous middle-mile logistics, transforming the B2B supply chain with our innovative autonomous transportation-as-a-service (ATaaS) solutions. We prioritize safety and reliability in deliveries while enhancing freight movement and reducing congestion. In 2021, we launched the world's first fully driverless commercial transportation service in collaboration with Walmart, utilizing our Class 3-7 autonomous trucks that are now operational in major markets such as Texas, Arkansas, and Ontario, Canada, driving the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is specifically engineered to ensure safe and efficient transport of freight between pick-up and drop-off points in the middle mile. With its robust capabilities for both highway and urban settings, Gatik Carrier™ integrates advanced software and hardware, seamlessly blending into our customers' logistics operations.Position OverviewWe are in search of a highly motivated and skilled GIS Engineer specializing in HD Mapping to enhance our team. In this role, you will play a crucial part in the development and optimization of our HD Mapping production pipeline.Your hands-on responsibilities will include working with extensive LiDAR and camera datasets, creating geospatial processing workflows, and refining our routing and topology validation systems. You will collaborate closely with internal teams and external partners to ensure high-quality map delivery within strict operational timelines.This position demands a strong enthusiasm for geospatial data and excellent software engineering capabilities, with the ability to excel in a dynamic production environment.

Who We Are Nuro is on a mission to enhance everyday life through robotics. Since our founding in 2016, we have dedicated ourselves to pioneering autonomous driving technology and bringing it into commercial use. Our flagship Nuro Driver™ represents a cutting-edge autonomous driving system that integrates advanced hardware with a sophisticated AI-driven self-driving software. Designed to adapt and optimize based on real-world data, the Nuro Driver™ is among the few driverless technologies currently operating on public roads. Having secured over $2 billion in funding from prominent investors such as Fidelity, Bailie Gifford, T. Rowe Price, and Google, Nuro collaborates with some of the world's leading brands, including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We are expanding our robotics team and seeking a talented Software Engineer to join our Localization and Mapping division. In this role, you will tackle complex challenges related to the design and implementation of mapping systems for our current and future robotic solutions. We are looking for an engineer who possesses a strong background in developing resilient mapping systems that operate effectively in unpredictable environments, and who is eager to contribute to the evolution of robotic navigation in logistics and transportation. About the Work Research, develop, and implement cutting-edge mapping and state estimation algorithms. Evaluate and characterize the accuracy and performance of these algorithms while creating map solutions that utilize diverse data sources. Develop well-tested C++ software and conduct deployment and testing on our robotic platforms and in simulations. Collaborate within a small, focused team to deliver high-quality mapping and localization solutions that empower the next generation of mobile robots. Engage with stakeholders across autonomy, infrastructure, and systems teams to address map needs and specifications. About You At least 2 years of industry experience as a software engineer. Proficient in C/C++ programming, with a focus on developing reliable, safety-critical software. Hands-on experience in creating mapping and/or localization algorithms for autonomous vehicles, drones, or similar technologies. Thorough understanding of state estimation, probabilistic filtering, and 3D geometry. Experience working with various sensors, such as lidar and cameras. Bonus Points PhD or Master’s Degree in computer science, robotics, or a related field.

Who We AreAt Aurora, we are committed to advancing self-driving technology to ensure safer and more efficient transportation solutions for everyone.Discover The Aurora Driver and join us in shaping the future of mobility and logistics.At Aurora, you'll engage with complex challenges alongside a team of dedicated and intelligent professionals, enhancing your expertise and expanding your knowledge base. For updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are seeking a talented Software Engineer to join our Map Fusion team. In this role, you will develop sophisticated algorithms that empower our vehicles to detect and respond to dynamic environmental changes, such as construction zones and emergency vehicles, in real-time. This is a unique opportunity to work at the crossroads of traditional geometric algorithms and cutting-edge machine learning, addressing critical safety challenges in real-world scenarios.

About CyngnLocated in Mountain View, CA, Cyngn is a pioneering publicly traded company focused on autonomous technology. We specialize in deploying self-driving industrial vehicles, such as forklifts and tuggers, across factories, warehouses, and facilities throughout North America. To advance this innovative sector, we seek driven, creative, and experienced professionals to join our mission. If you thrive in a collaborative environment where you can build, innovate, and explore alongside a passionate team, Cyngn is the perfect place for you.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the excitement of a startup while being publicly traded. This unique blend offers our team members both close collaboration with leadership and the benefits of publicly traded equity liquidity.From Concept to Reality.Our autonomous vehicles are not just concepts; they are actively deployed for real clients today, ensuring that your contributions will have a significant and visible impact.A Human-Centric Team.We pride ourselves on being a diverse and welcoming team of intelligent individuals who value collaboration and trust. At Cyngn, every team member's perspective is valued, driving our innovative spirit.Role Overview: As a Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be instrumental in delivering vital enhancements and new functionalities to our calibration, localization, and mapping systems. You will work within a focused, agile team to develop production-grade software that facilitates the efficient and accurate generation of HD maps at Cyngn deployment sites, as well as reliable localization for our autonomous vehicle fleets. Collaborative efforts with cross-functional teams, including vehicle infrastructure, hardware, QA, and other autonomy divisions (such as Perception, Decision, Planning, and Control), will be essential to ensure seamless integration, thorough testing, and ultimately safe and efficient operations for the next generation of Cyngn's autonomous vehicles.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the most scalable autonomous driving solution, merging advanced AI with high-performance automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications including robotaxis, commercial fleets, and personal vehicles. With years of proven self-driving deployments, Nuro provides automakers and mobility platforms with a clear trajectory towards commercial-scale AVs, fostering a safer, more connected future. About the Role Join our learned behavior team where we leverage sophisticated machine learning strategies to expedite software advancements. This role involves close collaboration with software teams to identify challenges and implement innovative machine learning approaches to tackle real-world problems. Your work may include self-supervised learning for robust representation, out-of-distribution detection for addressing long-tail issues, refining reinforcement learning methods for motion planning, trajectory prediction, and enhancing model robustness to address uncertainties. If you are passionate about solving complex problems with practical solutions ready for vehicle deployment, we invite you to be a part of our journey! About the Work Develop scalable machine learning systems for planning and predicting safe, feasible trajectories for autonomous vehicles. Investigate generative sequence modeling and sequential decision-making; backgrounds in Embodied AI for robotics, Causal reasoning, Model interpretability, and Joint prediction and planning are advantageous. Address uncertainties arising from interconnected autonomous systems. Collaborate across autonomy teams to create comprehensive solutions for major autonomy challenges by understanding issues, proposing ideas, prioritizing tasks, and developing effective solutions. Implement practical solutions and deploy them on real-world vehicles. About You You possess extensive expertise and experience in one or more of the following areas: M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related discipline. Strong background in sequential decision-making, Imitation Learning, Deep Reinforcement Learning, generative modeling, and more.

Who We Are Nuro is at the forefront of self-driving technology, dedicated to making autonomous driving accessible to everyone. Established in 2016, we are engineering the world’s most scalable driving solution by merging advanced AI with automotive-grade hardware. Our proprietary technology, the Nuro Driver™, is licensed to support a variety of applications, from robotaxis and commercial fleets to personal vehicles. With years of successful self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future. About the Work Design and enhance state-of-the-art generative models, particularly focusing on diffusion architectures, flow-matching techniques, and energy-based models for autonomous planning. Develop generative models utilizing foundation models. Harness large language models and world foundation models for reasoning, decision-making, and multi-modal generation. Optimize generative models through reinforcement learning to enhance interactive reasoning. Investigate reward modeling and learned verifiers using generative models. Explore joint prediction and planning as well as self-play, and leverage generative models for active learning and world modeling. Create controllable generative models to direct the generation process towards specific goals, conditions, and rewards. Collaborate with autonomy teams to propose and implement holistic solutions to pressing autonomy challenges. Assess issues, suggest solutions, prioritize tasks, and evaluate your findings by deploying models on the Nuro Driver.

About Nuro Nuro is at the forefront of self-driving technology, dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the world’s most scalable autonomous driver, integrating state-of-the-art AI with high-quality automotive hardware. Our proprietary technology, the Nuro Driver™, is licensed for a diverse array of applications, including robotaxis, commercial fleets, and personal vehicles. Proven through extensive self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview As a Senior Machine Learning Research Scientist in our Perception & Behavior team, you will harness cutting-edge machine learning research to tackle complex real-world robotics challenges. Your primary focus will be on advancing the ML landscape and large-scale learning applications for autonomous vehicles, steering towards a holistic end-to-end driving system. This role involves developing and refining large-scale models for perception and behavior, staying abreast of the latest architectural innovations, collaborating with cross-functional teams to assess data and infrastructure needs, and enhancing model optimization and inference speeds. Your expertise in applied research will be critical in the creation and deployment of ML models within our autonomous vehicles. If you're passionate about solving fundamental AI challenges and seeing your solutions come to life in real-world robotics, we invite you to join our team! Key Responsibilities Develop and enhance state-of-the-art end-to-end ML models for autonomous vehicles, processing raw sensor data (camera, LiDAR, radar) to inform vehicle behavior. Rapidly prototype and iterate on solutions using extensive real-world driving datasets and robust computational resources. Investigate and implement innovative solutions to tackle some of the most pressing issues in AV technology, including handling rare events, ensuring safety, and providing comfortable user experiences. Collaborate closely with autonomy teams to identify critical challenges and devise comprehensive solutions through learned approaches. Partner with infrastructure, data, and evaluation teams to create efficient data handling, training, assessment, and validation processes. Deliver practical, high-performance solutions that can be deployed to the NuroDriver in live environments.

About Nuro Nuro is pioneering self-driving technology with a vision to democratize autonomy for everyone. Established in 2016, we are developing the most scalable driver in the world, integrating advanced AI with automotive-grade hardware. Nuro's core technology, the Nuro Driver™, is licensed for diverse applications ranging from robotaxis and commercial fleets to personal vehicles. With years of successful self-driving deployments under our belt, we offer automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, contributing to a safer, richer, and more connected future. Role Overview At Nuro, we adopt a machine learning-first approach to autonomous driving. The quality of our Nuro Driver™ is intrinsically linked to the data utilized for its training, and this position plays a pivotal role in maintaining that standard. As a Senior Project Manager in ML Operations, your focus will be on oversight rather than execution. While our operators manage the day-to-day operations of data pipelines, your responsibility will be to take a broader view, identifying where quality issues may arise, understanding the causes, and devising actionable solutions. You will co-manage over 10 active data labeling pipelines in collaboration with senior leadership, placing a strong emphasis on data quality and addressing any gaps. This role requires a keen eye for detail, as even minor errors in annotation or classification can lead to significant safety regressions. We seek an individual who prioritizes precision and can differentiate between labeling mistakes and systemic issues. Your Responsibilities Establish and uphold data quality standards across 10+ labeling pipelines, defining what constitutes “good” for each data type, implementing measurement tools, and meticulously tracking discrepancies. Identify and rectify quality gaps by auditing live workflows, querying databases, tracing accuracy failures to their root causes, and presenting specific, evidence-based improvement plans. Work collaboratively above the execution layer by partnering with operations project managers focused on throughput and delivery, providing insights into quality diagnostics that they may overlook.

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, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver is the backbone of our fully autonomous ride-hailing service, having successfully completed over ten million rider-only trips, powered by more than 100 million miles of autonomous driving on public roads and extensive simulation across 15+ U.S. states.The Waymo Mapping team is committed to creating a comprehensive high-resolution map of the world to ensure safe autonomous driving. We utilize a combination of automated and manual mapping techniques to build the infrastructure necessary for storing, processing, and distributing this vital map data. Our team partners with various other Waymo teams that rely on this map data.

Who We AreAurora Innovation is on a mission to revolutionize transportation through self-driving technology, delivering safety, efficiency, and accessibility for all.The Aurora Driver is set to usher in a new era of mobility and logistics, making travel safer and more efficient.Join Aurora to tackle complex challenges with a team of passionate and intelligent individuals, fostering growth and expertise in the field. For the latest updates, visit aurora.tech or connect with us on LinkedIn.We are looking for a Staff Software Engineer - Online Maps to join our Maps ML team. This team is pivotal in providing real-time map data to the Aurora Driver as it navigates the complexities of the world.Your Role:Lead and collaborate with the Online Maps autonomy team to enhance and implement perception algorithms that empower the Aurora Driver.Research and develop cutting-edge deep learning and machine learning models for robust perception solutions in diverse scenarios.Create innovative verification and validation technologies and methodologies.Work closely with engineers from online maps, simulation, and safety to ensure online mapping technology is ready for autonomous operations.Build infrastructure and tests that support critical decisions for deploying the Aurora Driver.Integrate, test, and deploy production-ready solutions into the codebase that powers the Aurora Driver.