Staff Machine Learning Engineer - Mapping

Join the Offline Driving Intelligence team at Zoox, where we are pioneering the development of Foundation Models for ML Agents and strategic planning. Our mission is to leverage these models off-vehicle to enhance generalization capabilities for simulation and validation processes. In this role, you will collaborate closely with teams focused on Planning, Si…

Join Zoox as a Senior Machine Learning Engineer specializing in Perception, where you will play a pivotal role in crafting and deploying state-of-the-art detection models that leverage integrated sensor data. This position focuses on pioneering projects tailored for the next generation of driving software, which includes developing joint detection and tracking models and innovating methods to transmit enriched embeddings to downstream models to enhance semantic understanding and uncertainty management.This unique opportunity allows you to significantly contribute to Zoox's venture into new horizons. By engineering more robust and adaptable models, you will aid in navigating complex and diverse scenarios, propelling our mission to achieve safe and dependable autonomous mobility. We seek an enthusiastic and driven individual who is eager to push the limits of perception technology in autonomous vehicles.

Join Visa Inc. as a Staff Machine Learning Engineer and be at the forefront of innovation in the financial technology landscape. In this role, you will leverage advanced machine learning techniques to create cutting-edge solutions that enhance our services and customer experience. You will collaborate with cross-functional teams to drive impactful projects and contribute to the growth of our machine learning capabilities.

Zoox is pioneering the future of transportation by designing autonomous robotaxis that prioritize safety, reliability, sustainability, and user experience. As we embark on the exciting journey of deploying our robotaxis on public roads, we invite you to join our mission and make a meaningful impact. The ML Platform team at Zoox is integral to advancing innovations in machine learning (ML) and artificial intelligence (AI), striving to create a seamless autonomous driving experience.The OpportunityAre you ready to facilitate cutting-edge ML applications that enhance autonomous driving, scene understanding, and automated mapping? In this pivotal role, you will collaborate with all ML teams at Zoox—including Perception, Behavior ML, Simulation, Data Science, Collision Avoidance—as well as our Advanced Hardware Engineering group to define our next-generation autonomous hardware. Your contributions will redefine ML practices within Zoox.At Zoox, we develop and maintain the foundation of ML tools, deep learning frameworks, inference libraries, and ML infrastructure utilized by our research teams for both in-vehicle and off-vehicle ML applications. We ensure that the requirements of both the vehicle and ML teams are met through effective coordination across the organization. In this role, you will be instrumental in accelerating the transition from ideation to production of cutting-edge AI innovations. As we expand our robotaxi deployments and explore new ML domains, the growth opportunities within our team are substantial. To delve deeper into our technology underlying autonomous driving, please visit here.

Join the dynamic 3D Simulation team at Zoox as a Senior Machine Learning Engineer specializing in 3D sensor simulation. In this pivotal role, you will harness advanced machine learning and generative AI techniques alongside state-of-the-art 3D graphics to create realistic simulations of various sensors, including cameras, lidar, and radar. You will have unparalleled access to top-tier sensor data and a robust infrastructure designed for thorough testing and validation of your algorithms. Collaborate closely with teams across Sensor Simulation, Perception, and Verification & Validation to enhance the accuracy and realism of sensor simulations. Your contributions will be critical in generating high-fidelity synthetic data for autonomous vehicle training and testing, as well as supporting real-time sensor data for hardware-in-the-loop simulations.

At Zoox, we are revolutionizing transportation by designing and deploying autonomous robotaxis that prioritize safety, reliability, sustainability, and user enjoyment. As we embark on the exciting journey of introducing our robotaxis to public roads, we invite you to join our mission and make a tangible impact. The Machine Learning Platform team is at the heart of our innovations in Machine Learning (ML) and Artificial Intelligence (AI), striving to enhance the autonomous driving experience.Your RoleAre you passionate about enabling groundbreaking ML applications such as autonomous navigation, scene recognition, and automated mapping? In this pivotal position, you will collaborate across all ML teams at Zoox—including Perception, Behavior ML, Simulation, Data Science, and Collision Avoidance—while also working closely with our Advanced Hardware Engineering team to define the next generation of autonomous vehicle hardware. Your contributions will redefine the implementation of ML practices within our organization.We create and manage a foundational layer of ML tools, deep learning frameworks, inference libraries, and ML infrastructure that empower our applied research teams in both in-vehicle and off-vehicle ML applications. By ensuring that the needs of both vehicle and ML teams are met, you will play an essential role in accelerating the transition from concept to production of innovative AI solutions. This team offers abundant opportunities for growth as we expand our robotaxi operations and explore new ML domains. For more insights into our autonomous driving technology stack, please visit here.

Join Zoox as a Senior Engineering Manager for our Machine Learning Platform. In this pivotal role, you will lead a talented engineering team, driving innovation and excellence in our machine learning initiatives. You'll be responsible for overseeing the architecture and development of ML systems that enhance our autonomous vehicle technology. Your leadership will empower engineers to explore cutting-edge solutions and collaborate across disciplines.At Zoox, we are committed to redefining mobility through advanced robotics and AI, aiming to create a seamless transportation experience that is safe, efficient, and sustainable.

The Perception team at Zoox plays a pivotal role in advancing our autonomous vehicle technology by creating a sophisticated understanding of the world for our self-driving robots. Our expertise enables safe and efficient navigation through complex environments by leveraging advanced detection, classification, and tracking systems.As a Senior Software Engineer within the perception mapping team, you will be an integral player in Zoox’s online mapping initiatives. Your responsibilities will encompass designing, training, validating, and integrating machine learning models that accurately detect semantic elements within our environment. This role will engage you in all phases of ML development, including data collection, labeling, training, validation, and onboard integration. Your contributions will be crucial in achieving significant milestones in scaling and enhancing our autonomy capabilities, ultimately driving the success of Zoox.

Join our innovative Prediction & Behavior ML team at Zoox, where we are at the forefront of developing cutting-edge machine learning algorithms that analyze and predict driving behaviors from complex data sets. Our algorithms are pivotal in enhancing both on-vehicle driving decision-making and off-vehicle simulation and validation processes. By closely collaborating with the Planner team, we ensure a seamless integration of behavior forecasting and motion planning, driving the advancement of our autonomous vehicle technology. Furthermore, our partnerships with the Perception, Simulation, and Systems Engineering teams enable us to rigorously validate and refine our driving performance.As a Learned Trajectory Machine Learning Engineer, you will be instrumental in designing and implementing advanced deep learning models that generate accurate trajectories for our vehicles. Your work will directly impact the integration of behavior prediction with motion planning, and you will collaborate extensively with Planner and Perception teams to elevate our vehicle's overall functionality and performance.

Join Zoox as a Senior Machine Learning Engineer specializing in Scene Understanding. In this role, you'll leverage your expertise to develop advanced algorithms and models that enhance the understanding of complex scenes for autonomous vehicles. You will be part of a dynamic team that is committed to innovation and excellence in the field of machine learning.

Join the pioneering 3D Simulation team at Zoox, where we are redefining the boundaries between simulation and reality through innovative machine learning solutions. We are seeking talented Machine Learning Engineers who are passionate about leveraging cutting-edge research in 3D vision. In this role, you will have unparalleled access to world-class sensor data and a robust infrastructure that empowers you to test and validate your algorithms effectively. Collaborate with our ML experts to create dynamic and diverse 3D environments, including realistic human interactions and varying environmental conditions, making a significant impact on the future of autonomous vehicles.

Join Zoox on an innovative journey to revolutionize autonomous mobility solutions for urban environments, leading to the safe deployment of our robotaxi service. We are seeking a seasoned Senior Machine Learning Engineer to enhance our automated testing and validation processes. This pivotal role focuses on leveraging advanced machine learning techniques to refine our validation processes, significantly improving the efficiency and scalability of testing across extensive datasets where traditional methods fall short. By integrating real-world fleet logs and synthetic data, your contributions will directly influence the validation of software modifications, ensuring the safety and reliability of our robotaxi service. Your expertise will accelerate our validation process, empowering Zoox to innovate swiftly and effectively. As part of a forward-thinking organization with strong leadership and a culture of transparency and respect, you will have the opportunity to maximize your potential and advance your career through demonstrated performance.

Are you passionate about leveraging machine learning to solve intricate challenges in the realm of autonomous vehicle testing? Join our Simulation Scenario Generation team at Zoox, where we are seeking a skilled Machine Learning Engineer to drive the development of innovative, scalable workflows for creating autonomous vehicle scenarios. Your work will encompass the generation of extensive traffic simulations and the enhancement of our intelligent AI systems to facilitate the creation of synthetic scenarios derived from natural language test specifications. This role presents a unique opportunity to make a significant impact on user experience while playing a vital role in advancing AI-driven safety validation for autonomous vehicles.

Join our innovative Attributes team within the Perception department as a Senior / Staff Machine Learning Engineer. In this pivotal role, you will spearhead the development and enhancement of advanced behavioral models for diverse road users, such as vehicles, pedestrians, and cyclists. Your focus will be on establishing and maintaining robust perception attribute models that deliver critical signals to our autonomous driving stack. These signals are vital for empowering our Prediction and Planning teams to make intelligent and safe driving decisions for our autonomous vehicles.The Attributes team plays an essential role in Zoox's autonomous driving capabilities. The models you create will form the cornerstone of how our vehicles interpret and engage with other road users, directly influencing the safety and efficiency of our autonomous driving system. By delivering reliable and precise behavioral models, you will enable Zoox's vehicles to make informed, secure decisions in complex urban settings, helping us realize our vision of transforming urban mobility.

Join the innovative Offline Driving Intelligence (ODIN) team at Zoox, where we harness the power of cutting-edge AI to develop sophisticated algorithms that perceive and interpret the world around us. Our mission is to create algorithms that first operate in offline settings, ultimately paving the way for safe and efficient navigation of our self-driving robot in complex environments.As a key engineer in the ODIN team, you will be at the forefront of developing advanced multimodal large language models that significantly enhance environmental comprehension. Your role will involve fine-tuning these models for off-vehicle analysis, collaborating with our onboard team to ensure our robotaxi platform can swiftly identify hazards and interpret driving restrictions with minimal latency. You will work alongside a team of world-class engineers and researchers, utilizing premium sensor data and state-of-the-art infrastructure to validate your algorithms in real-world scenarios, directly contributing to the productivity, safety, and capabilities of Zoox’s autonomous systems.

Join the dynamic 3D Simulation team at Zoox, where we blend advanced Machine Learning and cutting-edge 3D graphics to create realistic simulations of sensors such as cameras, lidar, and radar. In this pivotal role, you will utilize world-class sensor data and a robust testing infrastructure to develop and refine algorithms that enhance the accuracy of sensor simulations. Collaborate closely with teams across Sensor Simulation, Perception, and Verification & Validation to continuously elevate the fidelity of our synthetic data, which is crucial for training and testing autonomous vehicle AI, as well as for real-time simulations involving hardware-in-the-loop.

Join Zoox as a Machine Learning Engineer specializing in 3D vision perception! In this role, you will be at the forefront of developing cutting-edge technologies that empower autonomous vehicles to perceive and understand their environment in three dimensions. Utilize your expertise in machine learning and computer vision to create innovative solutions that enhance the safety and efficiency of our self-driving systems.

Join the visionary Perception team at Zoox, where we are revolutionizing autonomous vehicle technology by creating an intricate understanding of our surroundings for self-driving robots. Our mission is to facilitate safe and efficient navigation within complex environments through advanced detection, classification, and tracking systems.As a pivotal software engineer on the perception mapping team, you will drive the development of Zoox's online mapping initiative. Your responsibilities will include designing, training, validating, and seamlessly integrating machine learning models that identify semantic map elements in real-world settings. You will engage in all facets of machine learning development, from data collection and annotation to training, validation, and onboard integration. Your contributions will be instrumental in achieving key milestones that enhance our scaling and autonomy capabilities, playing a crucial role in Zoox's success.

Join the innovative 3D Simulation team at Zoox, where we are at the forefront of merging cutting-edge machine learning with advanced 3D vision technology. We are seeking passionate machine learning engineers to help enhance the realism in simulations and promote diversity within virtual environments. You will leverage unparalleled access to world-class sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. Our ML team is dedicated to generating intricate and diverse 3D environments, including lifelike representations of humans and varying environmental conditions. Your contributions will be instrumental in shaping the future of automated driving technology.