Human-Centered AI Intern: Human-Computer Interaction

Join Toyota Research Institute (TRI) to Enhance Human Life through AIAt TRI, we are dedicated to advancing the quality of human experiences by developing innovative tools and capabilities in AI, robotics, driving, and material sciences. We strive to spearhead a transformative shift in mobility through our world-class team.The TeamOur Automated Driving Advanced Development (AD2) division is at the forefront of innovation at Toyota. We bridge TRI research with Toyota's products and services through collaboration and shared commitment. Our new division is leading a cross-organizational initiative with Woven by Toyota, focusing on research and development of a fully end-to-end learned driving stack, aligning with TRI’s robotics efforts in Diffusion Policy and Large Behavior Models.The OpportunityWe are looking for a dedicated Machine Learning Research Engineer to explore interpretable AI methods for learning-based automated driving systems. This role is perfect for hands-on researchers keen on foundational challenges in autonomy, interpretability, and safety. Collaborating closely with senior researchers and engineers, you will develop techniques that enhance the interpretability, diagnosability, and verifiability of end-to-end neural driving policies while maintaining performance and scalability. Your contributions will assist in creating “glass-box” models that empower engineers and researchers to understand, debug, and validate learned driving behaviors more effectively.

At the Toyota Research Institute (TRI), we are dedicated to enhancing the quality of human life through innovative technology. Our mission involves creating advanced tools and capabilities that elevate the human experience. To spearhead this groundbreaking evolution in mobility, we have assembled a premier team dedicated to pushing the boundaries of AI, robotics, driving technologies, and material sciences.The TeamWithin our Human-Centered AI (HCAI) Division, TRI’s Carbon Neutrality Department is committed to developing artificial intelligence systems that facilitate behavior change aimed at reducing carbon emissions. Our approach involves designing innovative models of human behavior that intertwine behavioral science, Human-Computer Interaction, and cutting-edge machine learning techniques.The OpportunityWe are in search of a Senior Machine Learning Research Scientist proficient in large-scale foundational model training, fine-tuning, evaluation, and benchmarking. This pivotal role exists at the intersection of generative machine learning and human behavior modeling. The ideal candidate will possess a robust research background, practical experimentation skills, and proven experience in developing and implementing foundational models. This position focuses on crafting models that accurately reflect human beliefs, preferences, and cognitive processes as they evolve over time. For an insight into our preliminary research in this area, please visit https://arxiv.org/abs/2403.20252.

Join us at the Toyota Research Institute (TRI) as we strive to enhance the quality of human life through innovative technologies. Our mission is to create groundbreaking tools that enrich human experiences. To spearhead this transformative evolution in mobility, we've assembled a stellar team that is pushing the boundaries in artificial intelligence, robotics, driving, and material sciences.The TeamWithin TRI's Energy and Materials division, the Future Factory team is dedicated to pioneering advanced tools and methodologies that drive flexibility and efficiency in Toyota's product design and manufacturing processes. Our goal is to expedite the journey towards an emissions-free future. We are developing comprehensive AI systems capable of reasoning through the creation of physical objects — from initial design concepts to the assembly of actual components — and building the necessary infrastructure to train and evaluate these systems on a large scale.The OpportunityWe are seeking a Research Scientist to help us build intelligent systems for physical assembly. This role is an excellent fit for recent PhD graduates with a proven track record in implementation and a deep curiosity about the manufacturing process.As a member of our research team, you will design and implement learning pipelines from the ground up, conduct experiments to assess various architectural, data, and algorithmic alternatives, and influence the application of modern machine learning to the challenges of robotic assembly. Your work will intersect policy learning, reinforcement learning, and physical reasoning, allowing you to explore the integration of large language models and agentic infrastructure in solving real-world manufacturing challenges.

At the Toyota Research Institute (TRI), our mission is to enhance the quality of human life through innovative solutions. We are at the forefront of developing advanced tools and capabilities that elevate human experiences in mobility. Our world-class team is dedicated to pushing the boundaries of AI, robotics, driving technology, and material sciences.About Our TeamThis internship is part of the Human-Centered AI Division (HCAI). We are a cohesive group of machine learning researchers, behavioral scientists, and human-computer interaction specialists. Our primary focus is to empower individuals in making informed decisions by harnessing the power of big data, cutting-edge technology, and insights into human behavior.Internship OverviewWe are looking for an enthusiastic and skilled PhD intern to join our Future Product Innovation team, where you will explore the potential of Generative AI technologies within automotive product design. The ideal candidate will have a robust background in CAD Generation and Machine Learning or closely related fields, coupled with a passion for design and generative AI. Your primary responsibility will involve developing generative models for 3D parametric B-rep editing and design reasoning.Throughout the internship, you will attend Future Product Innovation team meetings, participate in Human-Centered AI division discussions, and engage with stakeholders across various Toyota business sectors. This experience will provide valuable insights into interdisciplinary industrial research and allow you to learn from our team and fellow interns. Additionally, you will have the opportunity to engage in strategic discussions regarding the business impact of your research at Toyota.This is a paid 12-week internship opportunity for the Fall 2027 semester, offered in a hybrid work format.

Join Toyota Research Institute (TRI) as we strive to enhance the quality of human existence through innovative technologies. Our aim is to revolutionize mobility by creating tools that enrich the human experience. Our accomplished team is at the forefront of advancements in AI, robotics, driving, and material sciences.At TRI's Automated Driving Advanced Development division, we are committed to fostering innovation and transformation at Toyota. We act as a conduit between TRI's cutting-edge research and Toyota's products, services, and requirements. Our collaborative efforts are focused on a groundbreaking project in partnership with Woven by Toyota, where we are developing a comprehensive learned driving stack. This initiative aligns seamlessly with the missions of TRI's robotics divisions, particularly in Diffusion Policy and Large Behavior Models.We are seeking a Senior Software Engineer to become an integral part of our end-to-end automated driving team. In this role, you will facilitate the integration, prototyping, and deployment of advanced autonomy systems within vehicle platforms. As a versatile software engineer with extensive systems knowledge, you will engage across the autonomy software stack to expedite feature development, enhance system-level integration, and assist in validating deployments in both controlled environments and public road settings.The ideal candidate should possess robust experience in modern C++ (C++14/17/20) and Python programming, along with a solid understanding of robotics or embedded software systems. You will thrive in our collaborative, fast-paced engineering environment. This position serves as a bridge between research and practical deployment, focusing on engineering support for platform integration, evaluation tools, system initialization, and diagnostics. You will work closely with machine learning, simulation, and infrastructure teams to ensure the complete stack operates reliably on actual vehicles during closed-course, public road, and simulation testing.This role is part of Toyota's global AI initiatives and involves close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.

Saga is pioneering the development of innovative infrastructure and products tailored for the next generation of AI agents. Our AI Character Agent Network empowers studios, creators, and publishers to transform their most cherished intellectual properties into dynamic digital companions. These agents engage fans across social media platforms, drive organic user acquisition, and facilitate a new era of agentic commerce.Our advanced agents operate on a unique training architecture that integrates both Large Language Models (LLMs) and Smaller Language Models (SLMs) to create finely-tuned character AI agents. These agents possess a level of autonomy that allows them to develop their own intelligence and personality, all while staying aligned with the creative visions of their original studios and creators. Since our launch in early 2024, we have successfully processed over 23 million transactions, totaling more than $2 billion, and we are just at the beginning of our journey.Our team is composed of industry veterans, including web3 entrepreneurs and builders from renowned companies such as Apple, X (formerly Twitter), Robinhood, Samsung, NVIDIA, Tendermint, and Skuchain. We are actively looking to expand our team as we scale our agent platform to accommodate more studios, platforms, and users.At Saga, we provide a flexible and remote work environment. You will be warmly welcomed into a supportive and diverse team that is committed to your personal and professional development.

At Toyota Research Institute (TRI), we are dedicated to enhancing the quality of human life through innovative technologies. Our mission is to create groundbreaking tools that enrich the human experience and lead the evolution of mobility. We have assembled a premier team focused on advancing artificial intelligence, robotics, driving, and materials science.The Mission:Our Human-Machine Interaction Research (HMIR) group employs a design thinking approach to prioritize human needs in the development of human-machine interfaces. We strive to create automotive HMI technologies that foster seamless collaboration between humans and AI, regardless of ability.The Team:Within the HMIR group, our focus is on designing, developing, and assessing innovative interfaces that enhance driver safety, well-being, and performance through human-centered AI.The Opportunity:We are currently looking for a Postdoctoral Researcher to contribute to an exciting project examining next-generation extended reality (XR) experiences in vehicles. This research will explore how generative AI and real-time video processing can facilitate new forms of visual augmentation and interaction between drivers and their environments. The ideal candidate will take charge of key technical directions, manage implementation and evaluation processes, and collaborate closely with team members to achieve outstanding research results.This full-time, one-year postdoctoral position will be deeply integrated within the HMIR team at TRI. Please note that this role requires in-office presence in Los Altos, CA, and involves several trips to test tracks.

At Toyota Research Institute (TRI), our mission is to enhance the quality of human life through pioneering technology. We are committed to creating innovative tools and capabilities that elevate the human experience. Our world-class team is at the forefront of advancements in AI, robotics, mobility, and material sciences.The TeamThe Automated Driving Advanced Development division at TRI is dedicated to driving innovation at Toyota. We bridge the gap between cutting-edge research at TRI and Toyota's product and service needs through collaboration and shared commitment. Our team is spearheading a transformative project in partnership with Woven by Toyota to develop a comprehensive end-to-end automated driving and Advanced Driver Assistance Systems (ADAS) stack. This initiative is closely aligned with TRI's efforts in Diffusion Policy and Large Behavior Models within the robotics domain.The OpportunityWe seek a Senior Machine Learning Researcher to join our mission of developing a cutting-edge, end-to-end automated driving system that translates pixels to actions. As a machine learning expert, you will play a pivotal role in designing and implementing innovative models for our autonomy stack, deploying them on vehicle platforms to address everyday driving tasks and complex scenarios.The ideal candidate will have a proven history of leading independent research initiatives, with a preference for mentorship experience with junior researchers and students. You will drive our exploration of end-to-end learning strategies for automated driving, utilizing large-scale sensor data for perception, planning, and prediction to tackle traditional

At Toyota Research Institute (TRI), we are dedicated to enhancing the quality of human life through innovative technology. Our mission is to develop advanced tools and capabilities that enrich the human experience. To spearhead this transformative evolution in mobility, we have assembled a premier team that is at the forefront of advancements in AI, robotics, driving technologies, and materials science.The TeamThe Future Factory team within TRI's Energy and Materials division is committed to pioneering state-of-the-art tools and methodologies that expedite change while enhancing flexibility and efficiency in Toyota's product design and manufacturing processes. Our goal is to accelerate the transition to a zero-emissions future. To accomplish this, we are constructing comprehensive AI systems that can reason about the design and manufacture of physical objects—encompassing geometry, constraints, simulation, and assembly—and creating the engineering infrastructure necessary for training, evaluating, and iterating on these systems at scale.The OpportunityWe are seeking a Senior Research Engineer to collaborate with us in developing the systems and tools that drive our research in physical AI. This role is ideal for candidates with a robust software engineering background, extensive experience in geometry or physical modeling, and a genuine passion for understanding the manufacturing process.As a research engineer on our team, you will design and construct the pipelines and tools that enable researchers to operate swiftly and assess what matters most—ranging from large-scale training and evaluation frameworks to the geometry processing and physics-aware components integral to our models. You will work at the intersection of software engineering and research, translating cutting-edge concepts into reliable, production-ready implementations.

At Toyota Research Institute (TRI), we are driven by a mission to enhance the quality of human life through innovative technologies. Our team is dedicated to creating cutting-edge tools and capabilities that elevate the human experience. We are at the forefront of advancements in artificial intelligence, robotics, driving technologies, and materials science.The Automated Driving Advanced Development division at TRI is pivotal in fostering innovation and transformation at Toyota. We aim to create a seamless connection between TRI's research initiatives and Toyota's products, services, and operational needs through collaborative partnerships and shared dedication. This newly formed division is spearheading an ambitious cross-organizational project with Woven by Toyota, focusing on researching and developing a comprehensive learned driving stack. Our efforts align harmoniously with TRI's robotics divisions, particularly in the realms of Diffusion Policy and Large Behavior Models.We are seeking a Senior Data Engineer to architect and construct the essential data infrastructure and tools that drive our autonomy research and development processes. This role encompasses the creation of large-scale ingestion pipelines, structured feature stores, labeling frameworks, scene search, data discovery tools, and performance diagnostics tailored for machine learning and simulation workflows.

Join Afero, a pioneering leader in IoT solutions, as a Firmware Engineer. In this role, you will be responsible for developing cutting-edge firmware for our innovative devices. You will work collaboratively with cross-functional teams to ensure seamless integration and performance of products in the field.

Saga is at the forefront of developing a diverse range of products within the cryptocurrency landscape — from innovative consumer fintech applications to advanced DeFi protocols and the SagaEVM blockchain. Our mission is to create cutting-edge products and infrastructure that propel the crypto ecosystem forward, whether through consumer applications, DeFi functionalities, or blockchain technology itself.Our team is composed of industry veterans and leading web3 innovators from renowned organizations such as Ignite (Tendermint), Apple, Twitter, NVIDIA, and Skuchain. As we strive to scale Mino to millions of users, we are looking to expand our talented team.We provide a flexible and supportive remote work environment, welcoming a diverse, international team that is dedicated to your personal and professional development. This is an exceptional opportunity to engage actively in the blockchain sector and contribute to the future of decentralization.The RoleIn the position of Senior Platform Engineer, you will take ownership of the backend systems and infrastructure that drive our innovative products. You will design and implement services, APIs, deployment pipelines, and platform tools that empower a dynamic product team to deliver reliable and high-performing features to end users. This role bridges backend development and infrastructure management, involving both the creation of application-level code and ensuring its seamless operation at scale.Key ResponsibilitiesCraft, implement, and maintain backend services and APIs that power core product functionalities including transactions, wallet management, DeFi integrations, and user account systems.Take charge of evolving the infrastructure layer — including CI/CD pipelines, container orchestration, deployment automation, and infrastructure-as-code practices.Develop and manage scalable and dependable systems on cloud infrastructures such as AWS or GCP.

Join Saga, where our mission is to empower developers to create the next 1000 chains within the multichain metaverse. As a pioneering protocol, we automatically provision application-specific blockchains, revolutionizing interactions for both developers and end-users. By leveraging shared security, advanced validator orchestration, and a standardized CI/CD deployment pipeline across single-tenant VMs, Saga simplifies the process of launching dedicated blockchains or chainlets, making it as seamless as deploying a smart contract.Our primary focus lies in gaming and entertainment chains, and as the metaverse evolves, the demands for performance and user experience continue to escalate. We understand that crypto-based applications must meet these heightened expectations.Our ambition is vast, and we are on the lookout for the brightest and most committed engineers to join our journey. Our team comprises seasoned web3 pioneers and builders from esteemed organizations such as Ignite (Tendermint), Apple, Twitter, NVIDIA, and Skuchain, and we are eager to expand our ranks.We provide a flexible remote working environment, welcoming you to a supportive, friendly, and international team committed to your personal and professional development. This is an exciting opportunity to actively engage in the blockchain sector and contribute to the decentralization of the future.

Join Palona as an Enterprise Account Executive and be at the forefront of revolutionizing communication in the restaurant industry. In this remote role, you will spearhead growth initiatives by engaging with multi-unit restaurant groups and hospitality operators. You will manage the entire sales process, from initial discovery to closing, while promoting Palona's innovative Conversational AI platform that enhances how high-volume restaurants manage calls, take orders, and schedule reservations. We seek a dynamic and skilled closer who excels in startup environments, rapidly earns the trust of executives, and consistently demonstrates clear ROI for our clients.The ideal candidate will possess a rich background in selling to multi-unit restaurant operators, franchisees, and hospitality executives. You will work closely with marketing, product engineering, and our AI experts to help Palona establish itself as the premier AI partner for restaurant leaders, transforming market dynamics.Key Responsibilities:Lead the complete sales cycle: discovery, demonstration, proposal creation, negotiation, and closing.Identify and connect with key decision-makers, including C-suite executives, VP-level leaders, GMs, and franchise owners.Convert operator challenges (e.g., missed calls, staffing inefficiencies) into quantifiable ROI using data, evidence, and case studies.Collaborate with marketing to develop outbound strategies, account-based marketing initiatives, and campaigns tailored to the restaurant sector.Utilize HubSpot to effectively manage your sales pipeline, ensure accurate forecasting, and uphold sales discipline.Represent Palona at industry events, product demonstrations, and executive briefings.Work alongside customer success teams to ensure a smooth transition for clients and expedite their time-to-value.Outcomes You Will Achieve:Growth in pipeline and closed revenue from enterprise restaurant accounts.Reduction in sales cycle duration with clearly aligned business cases.Expansion opportunities across multiple locations and markets.Insightful feedback to marketing and product teams regarding vertical positioning.