Vision Foundation Model Research Intern

Intrinsic Robotics, part of Google's AI robotics division, is dedicated to advancing industrial robotics by combining artificial intelligence, perception, and simulation. The team’s mission is to make intelligent robotics more accessible and practical for businesses, entrepreneurs, and developers. Interns at Intrinsic Robotics work alongside engineers, robot…

Waymo, the leader in autonomous driving technology, aims to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. With over ten million rider-only trips facilitated by our technology, which has autonomously navigated more than 100 million miles on public roads and countless simulations across more than 15 U.S. states, we are at the forefront of autonomous transportation.The Waymo Applied Research team is devoted to crafting machine learning solutions that tackle key challenges in autonomous driving, focusing on safely operating Waymo vehicles across diverse cities and under varying driving conditions. We thrive on collaboration, fostering partnerships with other research teams within Alphabet to push the boundaries of innovation.In this hybrid role, you will report to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, striving to be the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives that are lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience gained from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 states, we are leading the way in transforming transportation.The Waymo Applied Research team is committed to pioneering machine learning solutions that tackle significant challenges in autonomous driving, with the ultimate aim of safely operating Waymo vehicles across numerous cities and diverse driving conditions. Our team actively initiates and nurtures collaborations with other research teams within Alphabet to drive innovation.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 world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission centers on the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver currently underpins our fully autonomous ride-hailing service and is versatile enough to be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and executed tens of billions of miles in simulation across over 15 states in the U.S.The Waymo AI Foundations team is committed to advancing machine learning solutions that address the challenges of autonomous driving, enabling the safe operation of Waymo vehicles in numerous cities and under diverse driving conditions. We actively pursue collaborations with other research teams within Alphabet. Our current focus areas encompass reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.In this hybrid role, you will report directly to a Principal Scientist.

Waymo is at the forefront of autonomous driving technology, committed to becoming 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™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. With over ten million rider-only trips powered by the Waymo Driver, we have accumulated extensive experience, having driven more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to creating machine learning solutions that tackle complex challenges in autonomous driving. Our goal is to ensure the safe operation of Waymo vehicles in various cities and under diverse driving conditions. We actively collaborate with other research teams within Alphabet, focusing on areas such as reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.This position follows a hybrid work schedule and reports directly to a Staff Research Scientist / Tech Lead Manager.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed itself to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. Our technology powers a fully autonomous ride-hail service and can be integrated into various vehicle platforms and product applications. With over ten million successful rides and extensive experience driving autonomously for over 100 million miles on public roads, Waymo is actively shaping the future of transportation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to pioneering machine learning solutions that tackle critical challenges in autonomous driving, aiming to ensure the safe operation of Waymo vehicles in diverse urban settings and under varying conditions. We are committed to fostering collaborations with other research teams within Alphabet. Current focus areas include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust model evaluation.This position operates on a hybrid work schedule and reports directly to the Vice President of AI Foundations.

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 Us Nuro is a pioneering self-driving technology company striving to make autonomous vehicles accessible for everyone. Since our founding in 2016, we have been dedicated to creating the world’s most scalable driver, integrating advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to support various applications, including robotaxis, commercial fleets, and personally owned vehicles. With a track record of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to realize the commercial potential of autonomous vehicles, fostering a safer, more connected future. Role Overview As a Senior Machine Learning Research Scientist focusing on Vision-Language-Action (VLA) models, you will enhance our onboard Behavior & Planning stack to promote safe and robust decision-making in complex driving scenarios. Your expertise will drive the development of multimodal models that integrate scene understanding, contextual reasoning, and planning-relevant representations for real-world autonomous driving. This position emphasizes advancing cutting-edge VLA models, including model development, large-scale training, fine-tuning, evaluation, and optimization for onboard deployment. You will collaborate closely with teams across behavior, planning, perception, systems, and infrastructure to translate research breakthroughs into practical applications deployed in our vehicles. If you are passionate about creating and implementing state-of-the-art VLA systems in robotics, we encourage you to apply. Key Responsibilities Develop and enhance VLA models for onboard Behavior & Planning in autonomous driving systems. Create multimodal models that facilitate safe decision-making in complex and ambiguous driving situations. Research and implement state-of-the-art techniques in vision-language-action modeling, multimodal representation learning, and foundational models for autonomy. Train, fine-tune, and evaluate large-scale VLAs utilizing diverse and real-world driving datasets to improve model quality and robustness. Optimize models for efficient onboard deployment, focusing on inference speed, memory usage, and runtime performance. Collaborate with various teams to define training, evaluation, and deployment requirements. Design effective evaluation methodologies for multimodal models in safety-critical scenarios. Contribute to scalable model and data pipelines that support rapid experimentation and deployment. Qualifications Proven expertise in machine learning, particularly in vision-language-action frameworks. Experience with multimodal model development and evaluation. Strong background in autonomous driving systems and decision-making processes. Familiarity with large-scale data training and optimization techniques. Excellent collaboration skills to work effectively with cross-functional teams.

About UsNuro is pioneering self-driving technology with a mission to make autonomy accessible for everyone. Established in 2016, we are developing the world's most scalable driver, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, ranging from robotaxis to commercial fleets and personal vehicles. With years of proven deployment in self-driving environments, Nuro offers automakers and mobility platforms a viable pathway to commercial-scale autonomous vehicles, creating a safer, more connected future.Role OverviewAs a Senior/Staff Machine Learning Research Scientist, you will work closely with multidisciplinary teams, focusing on generative modeling to solve complex planning challenges in autonomous driving. You will utilize cutting-edge techniques—including diffusion models, flow matching, and energy-based models—to create innovative solutions that enable safe and efficient driving behavior in real-world scenarios. Additionally, you will manage the complete lifecycle of your models, transitioning them into robust applications for global autonomous driving deployments.Key ResponsibilitiesDesign and enhance state-of-the-art generative models, particularly focusing on diffusion architectures, flow-matching methods, and energy-based models, aimed at autonomous plan generation.Integrate large language models and world foundation models to facilitate reasoning, decision-making, and multi-modal generation.Employ reinforcement learning to optimize generative models for interactive reasoning, and investigate reward modeling and self-play methodologies.Create controllable generative models that steer the generation process towards specific goals and conditions.Collaborate with various autonomy teams to develop comprehensive solutions for key challenges in autonomous technology, ensuring rigorous evaluation through deployment on the Nuro Driver.

Waymo, an innovator in autonomous driving technology, is dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and can be integrated into various vehicle platforms for diverse applications. With over ten million rides provided and experience from driving more than 100 million miles on public roads combined with billions of miles in simulation across 15+ U.S. states, we’re at the forefront of a transportation revolution.The Perception team is responsible for developing systems that learn spatial-temporal representations and their semantic meanings within the autonomous vehicle's environment. Collaborating closely with other teams for optimization and integration into the Waymo Driver, we engage in research to tackle practical challenges and work with Alphabet's research teams. With access to millions of miles of diverse driving data, our engineers can (1) create methods for efficient and continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior to manage complex interactions, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.

Role Overview Khan Academy is looking for a Staff User Experience Researcher to join the Foundations and Enablement team. This position can be based in Mountain View, CA or remote within the continental US, Hawaii, or Canada. What You Will Do Conduct user research to inform and improve Khan Academy’s educational platforms. Work closely with product managers, designers, and engineers to gather insights that guide user-centered design decisions. Help ensure the platform addresses the needs of a diverse community of learners and educators. Play a key role in shaping product direction through research findings and recommendations. Collaboration This role involves frequent collaboration with cross-functional partners across product, design, and engineering to drive improvements and support the future of learning at Khan Academy.

About Contextual AI At Contextual AI, we are at the forefront of transforming the functionality of AI Agents by addressing one of the most significant challenges in artificial intelligence: context. By providing the right context at the right moment, we enhance the precision and scalability that enterprises leveraging AI demand. Our comprehensive enterprise AI development platform bridges the gap between groundbreaking AI research and the practical needs of developers. It empowers AI developers to efficiently ingest and query documents from various enterprise data sources, seamlessly integrating retrieval results into their business processes. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the core technique that connects foundational models to real-time, relevant information, Contextual AI is supported by visionary venture capitalists. We are not merely participants in the enterprise AI revolution; we are shaping its direction. Join us in crafting a future where AI not only answers inquiries but also revolutionizes business operations. About the Role As a Research-focused Member of Technical Staff, you will engage in pioneering AI research initiatives, contributing significantly to the development of Contextual RAG pipelines, including retrieval systems, language models, and alignment methodologies. Responsibilities Lead research projects in language modeling, retrieval, alignment, retrieval-augmented generation, end-to-end training, and evaluation. Develop and implement scalable infrastructure and tools that facilitate effective research and model development. Continuously review and stay informed about current literature, advancements, and industry best practices. Participate in the entire research pipeline, from ideation and experimentation to analysis and deployment. Publish research findings that contribute novel insights to the field of AI. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field; Master's or PhD preferred. Solid software engineering fundamentals with a proven history of developing complex systems. Deep understanding of core machine learning principles with hands-on experience in language modeling, retrieval, large-scale training, or evaluation. Research experience (academic or industry) is highly advantageous, including knowledge of experimental design, analysis, and research methodologies. Exceptional problem-solving capabilities and the ability to excel in a dynamic research environment.

Join Our Team at MaticMatic is pioneering the future of home robotics, striving to reclaim the 2.5 trillion hours consumed by household chores each year. Our flagship product, the Matic cleaning robot, delivers groundbreaking autonomous navigation and cleaning capabilities through advanced 3D mapping and adaptive path-tracking.With a strong emphasis on privacy, our robots ensure that all data processing occurs locally, safeguarding your home’s information. We aim to evolve home robotics from single-purpose tools to versatile solutions, creating a seamless integration into everyday life.At Matic, we foster a collaborative and driven culture, united in our mission to develop products that enhance the lives of our customers. Our team is committed to tackling complex challenges with innovative solutions.About the RoleWe are on the lookout for a Senior Research Engineer who will spearhead innovative perception research and advance our autonomous robotics platform. This role offers the chance to influence the technical direction of our perception stack while mentoring a passionate team of engineers.The ideal candidate possesses a strong problem-solving mindset and the ability to translate ideas into tangible, market-ready products. We seek detail-oriented innovators ready to push the boundaries of robotic perception technology.Key ResponsibilitiesDrive research projects aimed at addressing intricate perception challenges within dynamic home environments.Design and develop cutting-edge computer vision algorithms that extend beyond existing industry standards.Create novel neural network architectures tailored for edge deployment and real-time processing.Lead the development of advanced 3D geometric vision systems for improved spatial understanding.Establish and optimize robust machine learning infrastructure to support research initiatives.

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

At Study.com, our mission is to unlock the transformative power of education. We develop leading online college credit and test preparation solutions that empower working adults to earn their degrees, enhance their careers, and achieve economic advancement. Recognized by Fast Company and GSV 150 as one of the most innovative education companies globally, we are pioneers in AI-first learning, integrating artificial intelligence with cutting-edge learning science to enhance access and improve outcomes on a large scale.Our impact is reflected in our initiatives, such as Keys to College and Keys to the Classroom, which have collectively saved students over $700 million in tuition, enabling hundreds of thousands of learners to thrive in vital fields including nursing, teaching, counseling, business, and other high-demand professions. We are committed to measurable results and creating products that foster significant, lasting change in individuals’ lives.About the RoleWe are seeking a Senior User Researcher with an AI-first approach to lead and modernize our research team across product development, marketing, and branding, while spearheading the AI transformation within our Research department. This position is tailored for a seasoned, full-stack researcher who possesses expertise in both qualitative and quantitative methodologies, extensive experience in product and marketing research, and the capability to leverage AI to enhance the scale and quality of research at Study.com.You will play a crucial role in guiding our most significant research initiatives in the college credit and professional test preparation sectors, providing the company with strategic and actionable customer insights. Your responsibilities will also include overseeing internal voice of the customer programs, managing contractors, and conducting your own research in high-priority business areas.This position is based in our Mountain View, CA office and requires in-office attendance on Mondays, Wednesdays, and Thursdays.What You’ll DoLead and expand impactful research across product development, brand strategy, and marketing. Independently conduct complex generative and evaluative studies that identify unmet needs, shape product vision, and mitigate risks at scale.Implement advanced AI-driven practices and integrate AI into research workflows to ensure efficiency, quality, and impact. Define what it means to operate AI-natively in research, both internally and for our clients. Stay informed on the latest AI-based research techniques and tools.Identify connections, patterns, and insights across teams, ensuring knowledge is shared to inform decision-making. Collaborate with senior leadership to pinpoint and promote the highest-impact opportunities for research applications.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has developed 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 for various vehicle platforms and applications. With over ten million successful rider-only trips and more than 100 million miles driven autonomously on public roads, complemented by tens of billions of miles in simulation across 15+ U.S. states, we are transforming the future of transportation.The Perception team is pivotal in developing the system that learns spatial-temporal representations and their semantic meanings in the environment surrounding our autonomous driving vehicles (ADVs). We collaborate closely with downstream teams for optimization and integration into the Waymo Driver and conduct our own research to tackle real-world challenges. Access to extensive driving data from a variety of sensors enables our engineers to (1) create methods for continuous learning from large-scale real-world data, (2) develop scalable models and model training strategies, (3) analyze real-world behaviors and create systems to handle complex real-world interactions, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Join Our Team as a Staff Computer Vision and Robotics Engineer!At Coupang, we are dedicated to delivering exceptional experiences to our customers, and we are seeking a talented Staff Computer Vision and Robotics Engineer to contribute to our innovative projects. As part of our Global Operations Technology team, you will play a pivotal role in enhancing our technological capabilities.We invite you to complete the Internal Transfer Request Form and submit it for consideration. Please ensure you apply using your Coupang email address.

Logos Space is at the forefront of revolutionizing satellite communications with our Low Earth Orbit (LEO) satellite system, designed to meet the connectivity demands of commercial enterprises and government entities. We aim to bridge a crucial gap in the market by delivering robust, high-performance satellite-based connectivity solutions for our clientele around the globe. Our business customers will benefit from contracts that specify performance standards for broadband, which we will integrate into our system from the outset. Speed and reliability are the cornerstones of our infrastructure, ensuring seamless cloud and data center connectivity to fixed, maritime, and aerial terminals worldwide.Led by a team of seasoned engineers with extensive experience in networking and satellite technology, Logos Space is committed to innovation and excellence.Position Overview & ResponsibilitiesAs a member of the Networking team at Logos Space, you will play a pivotal role in ensuring the success of our network through the development of software-defined networking, performance monitoring, and other vital components of the ground segment. Your collaboration with other spacecraft design aspects—such as RF, power management, and more—will be essential. This network will uniquely provide services at Layer 2, 2.5, and 3, necessitating the development of methodologies to manage flows with enterprise-level assurance. Your work will evolve from conceptual frameworks to discrete event simulations at the message level, ultimately culminating in a digital twin of the deployed system.As an Algorithm and Network Simulation Engineer, you will be instrumental in designing, optimizing, and validating our pioneering hybrid space and terrestrial network. Your responsibilities will include creating intricate simulation models and algorithms to analyze performance metrics, assess emerging technologies, and enhance network behaviors within this complex ecosystem. This is a remarkable opportunity to spearhead core innovations within our network architecture.We're seeking engineers who thrive in dynamic environments and relish the challenge of transforming abstract design concepts into tangible hardware ready for testing and deployment. If you have a passion for solving complex problems, we want to hear from you!

Reliable Robotics develops automated aviation systems to improve safety and accessibility in air transportation. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology and make air travel more dependable. Role overview The Senior Guidance, Navigation, and Control (GNC) Modeling Engineer focuses on creating and improving physics-based models that underpin both rapid design changes and certification-level validation of GNC software. This role plays a key part in ensuring the accuracy and reliability of automated flight systems. What you will do Develop and refine physics-based models to support GNC software Run simulation analyses to test and validate GNC algorithms Compare simulation outputs with real-world data to verify model accuracy Contribute to iterative design and certification processes with high-fidelity modeling Location This position is located in Mountain View, CA.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and saving countless lives from traffic-related accidents. Our technology empowers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications. With over ten million rider-only trips facilitated by the Waymo Driver and more than 100 million miles driven autonomously on public roads, we are paving the way for safer transportation.The Perception team is responsible for developing systems that interpret the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles. Our collaborative efforts with downstream teams focus on optimizing and integrating these systems within the Waymo Driver. We engage in innovative research to tackle real-world challenges and work closely with research teams at Alphabet. Our engineers have access to extensive driving data from diverse sensors, allowing us to (1) create efficient learning methods from vast real-world datasets, (2) build and train models at scale, (3) analyze real-world behaviors, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.