Machine Learning Engineer, 3D Simulation

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 Zoox as a Machine Learning Engineer specializing in Simulation Scenario Generation. In this role, you will be at the forefront of developing advanced algorithms and machine learning models that drive our autonomous vehicle technology. Your expertise will help create realistic simulations for testing and refining our systems, ensuring safety and efficiency on the road.

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 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 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.

Join Zoox as a Machine Learning Engineer Intern in Simulation and gain invaluable hands-on experience with cutting-edge technology. Our internship program not only offers mentorship from some of the brightest minds in the industry but also invites you to contribute to our innovative mission. We seek candidates who exhibit exceptional academic performance, extracurricular involvement, intellectual curiosity, and a genuine passion for advancing Zoox's groundbreaking work.The Simulation team at Zoox is responsible for generating high-fidelity synthetic data essential for the training and evaluation of our autonomous vehicle AI systems, as well as providing real-time sensor data for hardware-in-the-loop simulations. With Zoox vehicles operating in various cities across the United States, our Simulation team ensures that we are always prepared for success.As a Machine Learning Engineer Intern focused on Simulation, you will have the opportunity to join one of several teams:On the 3D World Simulation team, your role will involve enhancing our simulation pipeline to accurately replicate dynamic actors. You will conduct research on various reconstruction algorithms and integrate the most effective solutions into our simulation framework.Within the Agent Simulation team, your focus will be on developing and refining models that authentically simulate the behaviors of road agents, including pedestrians and vehicles. Your expertise in software engineering and machine learning will be crucial in ensuring these agents exhibit a diverse range of plausible human behaviors, vital for validating the safety and efficacy of Zoox's autonomous driving technology.In the 3D Sensor Simulation team, you will assist in generating high-fidelity synthetic data to train and test autonomous vehicle AI, as well as provide real-time sensor data for hardware-in-the-loop simulations. You will develop 3D machine learning models and training datasets while collaborating closely with the Sensors, Perception, and Validation teams to enhance the fidelity of our sensor simulations.On the Scenario Authoring team, you'll work to create intelligent AI systems capable of generating novel scenarios that validate the safety and performance of Zoox's autonomous driving technology. Utilizing your software engineering and machine learning skills, you will gather data, refine existing diffusion models, enhance our LLM agent, and assess outcomes against customer requirements.Lastly, as part of the Scenario Automation team, you will build tools for scenario generation and analysis to evaluate robotic behavior through simulation. Your skills in software engineering and machine learning will be essential in recreating complex scenarios to assess performance.

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 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 the innovative Perception team at Zoox, where we harness the power of Generative AI to produce synthetic data that revolutionizes the training and evaluation of our autonomous systems. As a Machine Learning Engineer specializing in Generative AI, you will be at the cutting edge of developing and training advanced models for sensor-level scenario generation. By utilizing world models and radiance field techniques alongside our extensive proprietary datasets, your work will have a direct impact on enhancing the productivity, safety, and capabilities of Zoox's autonomous systems through real-world algorithm validation.

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 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.

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, Simulation, and Validation to craft and assess our driving performance. As a Senior Machine Learning Engineer specializing in ML Agents and Planning, you will operate at the forefront of the industry, innovating machine learning pipelines and models to accurately predict the behavior of surrounding agents and determine optimal pathways for the ego vehicle.

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.

As a Staff Machine Learning Engineer at Zoox, you will play a crucial role in shaping the future of autonomous mobility. You will work with a talented team to design and implement cutting-edge algorithms that enable the mapping and understanding of the world around our vehicles. This position is ideal for innovative thinkers who thrive in a dynamic environment and are passionate about machine learning and artificial intelligence.

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 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.