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…

About the Role Waymo is looking for a Senior Machine Learning Engineer focused on Prediction & Planning to join the System Architecture team. This position is based in Mountain View, CA, San Francisco, CA, or New York City, NY. What You Will Do Design and implement advanced machine learning algorithms for autonomous vehicle prediction and planning. Develop systems that improve the safety and efficiency of self-driving technology. Collaborate with engineers and researchers across teams to advance core capabilities in autonomous driving. Impact Your work will help shape the systems that guide Waymo’s vehicles, supporting safer and more reliable autonomous transportation.

Moveworks seeks a Senior Machine Learning Engineer to advance the GAI search relevance system. This position is based in Mountain View and centers on improving how users find information on the platform. Key Responsibilities Partner with fellow engineers to design and implement solutions that raise the quality of search results. Work on projects aimed at making the user experience smoother and supporting operational goals. Collaboration and Influence This role involves working alongside engineers who prioritize careful problem-solving and practical improvements. The work directly shapes how users engage with Moveworks’ technology.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

Waymo, a leader in autonomous driving technology, is 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™—which not only enhances mobility access but also aims to save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing 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, plus extensive simulation across 15+ U.S. states, Waymo is setting the standard for safety and innovation in transportation.In this hybrid role, you will report to the Sr. Staff Manager.

Join Moveworks as a Senior Machine Learning Engineer and become a pivotal part of our innovative team dedicated to transforming customer experiences through advanced AI solutions. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms that drive our AI systems forward. Collaborate with cross-functional teams to understand user needs and enhance our product offerings.

About NewsBreakFounded in 2015, NewsBreak is at the forefront of the Content Intelligence platform, revolutionizing the future of the content economy. With over 40 million monthly active users, our flagship platform offers highly personalized local news and information, driven by cutting-edge AI, advanced recommendation systems, and innovative adtech.Honored by Fast Company as #32 on the Top Workplaces for Innovators, we are proud to be Great Place to Work® certified and foster a dynamic team of technologists, product innovators, and business leaders dedicated to tackling meaningful challenges at scale.Having achieved unicorn status in 2021, we are committed to sustaining our high-growth trajectory with a skilled team poised to build the infrastructure layer for content intelligence.If you’re passionate about dreaming big, innovating rapidly, and making a significant impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the RoleWe seek a Senior Machine Learning Engineer to enhance our large-scale recommendation systems and implement AI/LLM technologies to solve real-world production challenges. You'll engage with our core feed, retrieval, and ranking systems that serve tens of millions of users, while also contributing to AI-driven innovation projects that seek new avenues for improving content discovery, personalization, and developer productivity. This position is perfect for engineers who relish strong individual ownership, hands-on development, and turning concepts into robust systems.What You’ll Work OnLarge-Scale Recommendation SystemsDesign, develop, and refine high-throughput, low-latency recommendation systems that drive NewsBreak’s core feeds.Enhance retrieval, ranking, and multi-objective optimization to strike a balance between engagement, retention, content quality, and business metrics.Oversee systems from offline training to online inference, A/B experimentation, and metric analysis.

Aeva, Inc. is seeking a Machine Learning Engineer with a focus on Perception to join the team in Mountain View, CA. This role centers on developing algorithms that help autonomous systems interpret and respond to their environment. The work draws on both machine learning and computer vision to improve how autonomous vehicles perceive the world around them. Key responsibilities Design and build perception algorithms for autonomous platforms Use machine learning and computer vision on real-world datasets Support progress in autonomous vehicle technology through technical contributions Work closely with engineers and researchers to expand product capabilities Location This position is based in Mountain View, CA.

At Coupang, we are dedicated to delivering an exceptional experience for our customers. Our goal is to elicit the reaction, "How did we ever live without Coupang?" With a relentless passion for simplifying shopping, dining, and living, we are transforming the multi-billion-dollar e-commerce landscape from the ground up. We have rapidly emerged as one of the leading e-commerce companies in South Korea, known for our reliability and innovation. We embody the best of both worlds — a startup-like atmosphere paired with the resources of a global public enterprise. This unique combination propels our growth and accelerates the launch of new services, maintaining the swift pace we established at our inception. Our team is filled with entrepreneurial spirits eager to initiate new projects and innovations. At Coupang, you will witness personal, team, and company growth each day. Our mission to revolutionize commerce is genuine. We continuously push the limits of what is achievable, tackling challenges and dismantling traditional trade-offs. Join Coupang and contribute to creating an extraordinary experience in today’s fast-paced, technologically advanced, and interconnected world. Role Overview As a Senior Staff Software Engineer in the ML Infrastructure team for Search & Discovery, you will be tasked with designing and implementing robust and efficient software solutions that manage vast amounts of structured and unstructured data necessary for training complex machine learning models and serving them effectively online. The Search & Discovery team is pivotal in optimizing our customers' navigation experience and driving sustained growth. Each week, over 20 million customers utilize search on our app or coupang.com, with more than a third making purchases. A significant portion of Coupang's sales is directly linked to search and recommendation features, with many business strategies and growth initiatives being influenced by ranking and recommendation algorithms. This position offers a chance to develop scalable offline and online machine learning platforms to support ranking, recommendation, and business decision-making. You will work with billions of user interaction records and petabytes of raw log files, converting them into actionable data formats for engineers and scientists. Additionally, you will be responsible for delivering complex machine learning models in real-time, facilitating millions of Coupang customers in discovering and searching for products. If you are passionate about big data engineering, scalable serving systems, and making a tangible business impact, this role is an excellent fit for you.

About EarnInEarnIn is a trailblazer in the field of earned wage access, dedicated to creating innovative solutions that provide real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community empowers members to access their earnings as they earn them, offering options to spend, save, and invest without mandatory fees, interest charges, or credit inquiries.With a highly experienced leadership team and backing from esteemed partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, EarnIn is in a strong position with a thriving core business and significant growth potential. We are rapidly expanding and eager to onboard world-class talent to help us shape the future of our organization.POSITION SUMMARYWe are looking for a forward-thinking and experienced Director of Machine Learning to spearhead our machine learning initiatives across the organization. As a fintech leader, machine learning is central to our business strategy and enhances user experience. We rely on advanced, scalable ML systems to make impactful decisions and provide outstanding customer value. Our goal is to revolutionize success stories through the application of generative AI and cutting-edge machine learning algorithms, resulting in significant business and societal outcomes.The Director of ML will prioritize operational excellence by crafting and executing a strategy that transitions ML models from research to production, ensuring optimal performance, reliability, and maintainability. The ideal candidate will have a demonstrated history of deploying ML models at scale, particularly in dynamic startup settings. A strong coding background, familiarity with production-level ML engineering, and the ability to connect theoretical frameworks with practical execution are essential.The base salary range for this full-time role in Mountain View is $414,000 to $506,000, accompanied by equity and benefits. Salary ranges are determined by role, level, and location. This is a hybrid position, requiring in-office work two days a week.

About Corvus RoboticsAt Corvus Robotics, we are revolutionizing warehouse inventory management. Our innovative drones utilize advanced computer vision and robotics to automate inventory tracking, ensuring enhanced worker safety and increased operational efficiency. We envision a future where data-driven inventory solutions optimize the global economy, fostering prosperity for all.Role OverviewWe are seeking a skilled Senior Computer Vision and Machine Learning Engineer to join our team. In this role, you will design and implement compute-efficient models for our deployed robots, extracting and analyzing vast sensor data to enhance environmental awareness and deliver actionable inventory insights to our clients. We thrive on creativity, problem-solving, and ongoing learning, encouraging you to explore the latest technologies to bolster our machine learning capabilities.Your ResponsibilitiesDevelop cutting-edge solutions for complex computer vision tasks, including monocular and stereo depth estimation, learning-based structure-from-motion, 3D occupancy networks, scene understanding, and object detection.Enhance the performance, accuracy, and speed of compute-constrained models.Collaborate with cross-functional teams to implement CV/ML models in production environments.Refine ML pipelines and infrastructure for effective dataset management, training, and deployment.Engage in research and development initiatives (20% of your time) to experiment with state-of-the-art techniques and technologies.Contribute to business value by leveraging your expertise across robotics, software, and deployment teams.This position offers a hybrid work environment in Mountain View, CA. While U.S. work authorization is preferred, we are open to sponsoring visas for the right candidate.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, we have concentrated on developing the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver supports Waymo’s fully autonomous ride-hailing service and is adaptable across various vehicle platforms and product applications. Having completed over ten million rider-only trips, our technology has autonomously driven over 100 million miles on public roads and tens of billions in simulations across more than 15 U.S. states.Our Semantics team is committed to producing the highest-fidelity and most comprehensive offboard perception autolabels at scale, serving as the cornerstone for training and validating our autonomous vehicle stack. We are an advanced ML and engineering team utilizing cutting-edge computer vision, deep learning, and generative AI technologies to automatically analyze driving logs, generate detailed scene understanding, and fuel the data engine that allows Waymo to scale safely and efficiently.In this hybrid role, you will report directly to a Technical Lead Manager.Your Responsibilities Will Include:Developing and training state-of-the-art computer vision and multimodal models (e.g., Gemini) to extract rich semantic information such as object attributes and scene properties essential for the AI agent.Designing and implementing a scalable AI agent framework that integrates large foundation models (e.g., Gemini) with outputs from our perception models and internal knowledge bases.Utilizing Fine-tuning and Reinforcement Learning (RL) techniques to establish a 'data flywheel' that continually enhances the system’s captioning and reasoning capabilities through automated feedback.Creating and prototyping innovative prompting strategies for Vision-Language Models (VLMs) to elicit complex causal reasoning related to driving scenarios.Collaborating closely with the ML Infrastructure, Perception, Behavior, and AI Foundation teams to define data requirements and integrate the captioning system into the broader ML development lifecycle.Taking ownership of the entire system lifecycle, from advanced model development and prototyping to production deployment and scaling for massive data generation.

Your Role As a key member of the Core Infrastructure team at Moveworks, you will play a pivotal role in designing and implementing the next evolution of our AI infrastructure. With Moveworks experiencing rapid growth, the infrastructure team is charged with creating and maintaining robust foundational services and frameworks that empower our products to scale effortlessly while enabling our engineering teams to rapidly develop customer-facing features. Collaborate closely with teams in machine learning, search, product development, data, and frontend engineering to assess infrastructure requirements, shape the infrastructure roadmap, and spearhead various projects. Design and develop core infrastructure and essential functionalities including distributed key-value stores, schema-less data storage, authentication and authorization mechanisms, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flagging systems, A/B testing, and traffic capture and replay. Enhance the observability and reliability of Moveworks systems by improving distributed logging, tracing, monitoring, and alerting capabilities. Establish methodologies and metrics for assessing the performance of microservices and product functionalities, identify and resolve bottlenecks, and enhance the performance and scalability of Moveworks applications. Consistently deliver time-sensitive work that is interdependent with other engineering teams.

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, we have focused on developing the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and 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 rides completed, our technology has autonomously driven more than 100 million miles on public roads and tens of billions of miles in simulation across 15+ U.S. states.The Predictive Planning team (PrePlan) is responsible for crafting and implementing cutting-edge machine learning solutions that forecast future scenarios and dictate the Waymo Driver's actions. Our goal is to harness Waymo’s vast driving data to create robust, generalizable, and high-performing deep neural networks, allowing our autonomous vehicles to navigate intricate environments safely and efficiently.In this hybrid role, you will collaborate closely with our PrePlan team under the guidance of a dedicated manager, with the team assignment occurring post-on-site interviews.

Waymo is pioneering the future of autonomous driving technology with a commitment to becoming the most trusted driver worldwide. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access and saving countless lives currently lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable across various vehicle platforms and applications. Having completed over ten million rider-only trips and autonomously navigated more than 100 million miles on public roads, our technology has undergone extensive testing, including tens of billions of miles in simulations across more than 15 U.S. states.The Simulator Team at Waymo specializes in creating cutting-edge simulations of realistic environments designed for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team comprises software engineers, machine learning (ML) engineers, and data scientists, all united in our mission to develop industry-leading simulation solutions utilizing advanced ML algorithms to measure and enhance the Waymo Driver's performance. By leveraging machine learning, we meticulously model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, roads, traffic control systems, and varying weather conditions.To enhance the fidelity and steerability of our simulations, we integrate the latest ML technologies, including large foundation models trained on our exclusive datasets and advanced diffusion techniques. Our investment in robust infrastructure facilitates the swift setup and deployment of multiple scenarios for comprehensive testing of our autonomous driving systems.In this hybrid role, you will report to a Senior Engineering Manager.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from 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 saving lives that are currently lost to traffic accidents. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and product use cases. To date, we have completed over ten million rider-only trips, driven over 100 million miles on public roads, and performed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates with both Research and Production teams to create core models in Perception and Planning essential to our autonomous driving software. We empower our partners by providing optimal frameworks throughout the model development lifecycle, encompassing both pre-training and post-training phases. Our frameworks are designed to efficiently scale models while addressing the unique challenges of machine learning in autonomous driving.We invite skilled engineers with expertise in machine learning systems to join us in refining and enhancing pre-trained models for deployment within the Waymo Driver and future products. You will collaborate with researchers and modeling engineers across the organization to tackle the complexities of large-scale reinforcement learning (RL), developing systems capable of scaling across various computational, data, and environmental contexts to enhance model intelligence and interpret human driving behaviors.

Join our innovative team at Nuro as a Software Engineer specializing in ML Platform Infrastructure. In this role, you will be at the forefront of developing and enhancing machine learning infrastructure that powers our autonomous delivery vehicles. You will work collaboratively with data scientists and engineers to build scalable and efficient systems that support various machine learning applications.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. With over ten million rider-only trips and the ability to autonomously navigate more than 100 million miles on public roads, Waymo is transforming transportation across 15+ U.S. states.The Waymo Mapping team aims to create a high-resolution map of the world to facilitate safe autonomous driving. We employ both automated and manual mapping techniques and develop the necessary infrastructure to store, process, and distribute our maps. Our team collaborates with several other departments within Waymo that utilize map data.In this role, you will:Design, train, and deploy machine learning models that automate the creation of Waymo's HD maps, allowing for scalability in the Waymo Driver.Utilize and advance cutting-edge ML techniques, including Vision-Language Models (VLMs) and Generative AI, to innovate in mapping automation.Manage the entire model development lifecycle, from data mining and processing to model training, evaluation, validation, and production.Work closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to implement pioneering research into scalable, reliable, production-ready solutions.

Join Nuro as a Senior Software Engineer specializing in Perception Data Infrastructure. In this pivotal role, you will be responsible for developing and optimizing systems that process perception data, enabling our autonomous vehicles to navigate safely and efficiently. You will collaborate with cross-functional teams to enhance our data infrastructure, ensuring reliability and scalability.

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 directly impact how millions of people shop online. As a technical lead, expect to work on projects that shape the search experience and improve the accuracy and speed of results for Coupang’s customers. Team and culture Coupang encourages teams to launch new initiatives and solve complex problems. Employees regularly see the results of their work, both in personal growth and in the company’s progress. The culture blends the drive of a startup with the stability and resources of a global public company. What makes this role unique Work on technology that influences how millions shop online. Join a team that prioritizes innovation and ongoing improvement. Contribute to a company known for transforming e-commerce in South Korea. Experience the energy of a startup with the support of a global organization. This is a chance to help define the future of commerce as part of Coupang’s technology-driven Search team.