Research Scientist - Foundational World Models for Robotics

At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intr…

At Rhoda AI, we are pioneering the development of a comprehensive foundation for the next generation of humanoid robots. Our approach integrates high-performance, software-defined hardware with advanced models and world models that facilitate their operation. Our robots are engineered to function as generalists, adept at navigating complex, real-world environments and managing previously unseen scenarios. We are at the forefront of large-scale learning, robotics, and systems research, supported by a diverse team of experts from prestigious institutions including Stanford, Berkeley, and Harvard. With over $400 million raised, we are committed to investing in the R&D, hardware innovation, and manufacturing scale-up necessary to bring our vision to life.We invite applications for the position of Research Engineer, where you will collaborate closely with our research team on comprehensive model development. This hands-on role encompasses the entire stack: data management, infrastructure, model training, and deployment. You will play a critical role in transforming research concepts into scalable, operational systems, including the learning and application of world models for planning, prediction, and control.Key ResponsibilitiesDesign and develop foundational and world models for extensive robotic learning.Establish and manage data pipelines encompassing collection, curation, filtering, and augmentation for multimodal robotic data (vision, proprioception, actions, language, video).Engage in pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large models and world models.Implement and experiment with various model architectures.Create training and evaluation frameworks for world models, focusing on rollout quality, long-horizon predictions, and downstream task performance.Enhance training infrastructure and workflows (distributed training, efficiency, debugging).Collaborate closely with researchers to convert ideas into resilient, scalable implementations.Assist with experiments, ablations, and real-world deployments on robotic systems.QualificationsProficiency in software engineering combined with a research-driven mindset.Demonstrated experience in implementing ML models end-to-end, beyond merely executing existing code.Comprehensive understanding of the entire ML pipeline: data → pre-training → post-training → evaluation → deployment.Strong foundation in deep learning frameworks and methodologies.Ability to work collaboratively in a fast-paced, innovative environment.

AI Research Engineer, World ModelsPalo Alto, CA (On-site)About 1XAt 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various industries.The RoleAs an AI Research Engineer specializing in world models, you will create expansive multi-modal generative models that project future sensor inputs and robotic actions derived from historical data. These foundational models empower robots to comprehend and navigate complex real-world environments. Your responsibilities will span data engineering, model architecture, and deployment, with the goal of enhancing robot autonomy. This position merges innovative research with pragmatic product development, challenging the boundaries of robotic intelligence.

Position OverviewJoin our innovative team at Nace.ai as we push the boundaries of artificial intelligence through cutting-edge research in large language models (LLMs) and vision-language models (VLMs). We are in search of a talented AI Research Engineer with a strong focus on adaptive learning methodologies, including meta-learning and hypernetworks. Your role will encompass the design and implementation of advanced architectures for dynamic model adaptation, enhancing model reasoning capabilities, and effectively sharing insights with both research and engineering teams.Essential Qualifications:Demonstrated experience with LLMs or VLMs in both research and production environments.Strong foundational knowledge in Natural Language Processing, Machine Learning, or related fields, particularly in language model development.A proven history of tackling complex challenges in language understanding and generation, employing rigorous quantitative methods.Exceptional communication skills for conveying research findings to varied technical audiences.Proficiency in Python and familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow, alongside experience in distributed training and model optimization.Desirable Qualifications:PhD in Computer Science, Computational Linguistics, or a closely related discipline with an emphasis on language models and adaptive learning frameworks.Substantial research and engineering background with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, supported by grants, fellowships, patents, or contributions to open-source initiatives.First-author publications in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals focusing on language models, meta-learning, hypernetworks, or adaptive AI.Preferred Technical Expertise:In-depth research knowledge in LLM reasoning, hypernetworks, multi-task learning, meta-learning, and the design of innovative LLM adaptation techniques, including online continual learning.

Join mindrobotics as a Research Scientist or Engineer and play a pivotal role in establishing the core of general-purpose robotics. We seek individuals from diverse backgrounds in robotics, machine learning, or large-scale generative models, driven by the ambition to translate theoretical research into practical systems. If you have experience with training foundation models, possess a deep understanding of Vision-Language Models (VLMs) and Vision-Language Applications (VLAs), and are eager to bring these concepts to life through real-world hardware, this position is ideal for you. This role encompasses the entire development process, from creating innovative methodologies to scaling training systems, and engaging directly with robots to identify key operational insights. We value team members who demonstrate ownership, seamlessly navigate between research and engineering, and are passionate about seeing their contributions manifest as tangible robotic behaviors.

Technical Staff Member - Foundation Model Architecture & AI InfrastructureJoin Vinci, a leading innovator in operator intelligence infrastructure for cutting-edge hardware programs. We have successfully demonstrated that a single foundation model can seamlessly operate across various industries on complex production workloads.Leveraged over 45TB of structured physics data for training.Facilitated billion-voxel inference in live production settings.Implemented within Tier-1 semiconductor and hardware environments.Adapted to operate across diverse physical scales and operator regimes.This is not just a research prototype; it is a robust production infrastructure. We are now on a mission to scale our deployment to industrial levels:Enhancing simulation throughput by two orders of magnitude.Transitioning from billion-voxel to trillion-voxel domains.Broadening operator coverage to nonlinear regimes.Enabling global, multi-entity deployments within Tier-1 ecosystems.Our goal is not merely to become a frontier AI lab but to establish the default operator intelligence layer that hardware companies depend on.The Operator FrontierOur unified model currently addresses a subset of partial differential equations within real industrial environments. The next step involves extending this unified architecture across operator systems, including:Maxwell’s equationsElasticityPlasticityNavier–StokesNonlinear constitutive systemsCoupled multiphysics interactionsWe aim to evolve a single operator foundation model that generalizes across industries, physical scales, and conditioning regimes, all while scaling in deployment volume.Key ResponsibilitiesThis position focuses on AI architecture and systems engineering rather than low-level GPU kernel development. You will play a crucial role in defining and enhancing the core operator intelligence layer.

About Rhoda AI Rhoda AI is building the next generation of humanoid robots. The team combines high-performance, software-defined hardware with advanced foundational models and video world models to power robotics that can handle real-world complexity. Rhoda AI partners with researchers from Stanford, Berkeley, Harvard, and other leading institutions. With over $400M raised, the company is investing heavily in research, hardware development, and manufacturing scale-up. Role Overview The Robot Software Engineer will design and validate simulation environments for Rhoda AI’s humanoid robotics platform. This position focuses on building physics-based models that faithfully represent real hardware and developing the software pipelines that bridge simulation with the physical robots. Work will span motion planning, control systems, and sim-to-real transfer for AI policy training. The role is part of a small, agile team working on core technology for Generation 0 and Generation 1 robots.

Woven by Toyota is at the forefront of Toyota’s transformative journey into a mobility-focused company. With a rich legacy of innovation that prioritizes societal benefit, our aim is to redefine mobility through human-centered solutions, expanding the definition of mobility and its societal contributions.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (AD/ADAS), the Arene software development platform for software-defined vehicles, Woven City as a testing ground for mobility solutions, and our digital infrastructure encompassing Cloud & AI. Together, we strive toward a singular ambitious goal: a world devoid of accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we are pioneers in crafting advanced Machine Learning solutions aimed at autonomous driving. Our team is dedicated to overcoming innovative challenges by designing sophisticated neural networks, developing pioneering end-to-end architectures, and enhancing machine learning techniques in perception, prediction, and motion planning. We are seeking enthusiastic innovators and skilled problem-solvers who are eager to transform mobility through cutting-edge AI and robotics, directly influencing the future of autonomous vehicle technology.Woven by Toyota is collaborating with the Toyota Research Institute (TRI) on a project focused on developing a visual-based world model as a learned simulator to assess end-to-end automated driving. This collaborative effort aligns with TRI's advanced development initiatives in Diffusion Policy and Large Behavior Models (LBM).WHO ARE WE LOOKING FOR?We are in search of a Senior Machine Learning Engineer to help construct a vision-based world model for interactive driving scenarios. The engineer will play a crucial role in linking research initiatives with production programs. This position demands excellent communication abilities and a collaborative approach to navigate the joint nature of the Woven / TRI partnership. Candidates should possess extensive technical knowledge of state-of-the-art methodologies in robotics and automated driving to guide vision and scope, initiating long-term open-research projects.

About 1X Founded in 2015, 1X is a pioneering company dedicated to innovating advanced humanoid robots for home use. Our vision is to revolutionize labor availability with safe and intelligent humanoids that enhance everyday living.Position OverviewAs a Hardware Systems Prototyping / Research Engineer within the 1X Labs team, your primary responsibility is to redefine the limits of technology by rapidly creating and refining tangible systems that operate under real-world constraints.You will conceptualize and develop new mechanical systems and architectures, transforming ideas into functional hardware and rigorously testing them. Your prototypes will serve as tools to validate hypotheses, identify constraints, and maximize performance. The goal is not merely to achieve functionality but to approach human-level behavior or fully understand the limitations.Your expertise spans mechanics, electronics, and software. You will iterate swiftly, with each prototype being meticulously measured, evaluated, and benchmarked against biological or system-level standards. Success means pushing the limits of what works, and failure is an opportunity to learn and advance.This role is execution-driven; you will generate original ideas and develop concepts from others, favoring practical implementation over theoretical discussions. Prototyping is a means to let the system inform you, not a final destination.Importantly, you will ensure the transition of successful prototypes into robust designs that can be seamlessly integrated with existing products, accommodating real-world constraints and production processes.

Role Overview Pylon is hiring an Infrastructure Engineer, Foundation, based in Palo Alto. This role focuses on designing, implementing, and maintaining infrastructure that supports the company’s core products and services. The work directly supports operational reliability and technical growth across the organization. What You Will Do Design and build infrastructure solutions to support Pylon’s main offerings Maintain and improve existing systems to ensure reliability and performance Work with teams across engineering and other functions to integrate and support infrastructure needs Identify opportunities to optimize system performance and scalability Who We’re Looking For Proactive approach to problem solving and infrastructure development Interest in building scalable systems and improving performance Comfort working closely with cross-functional teams

Location: Remote or Palo Alto, CADuration: 12–16 weeks (flexible)Compensation: Paid, competitiveStart: RollingAbout PalonaAt Palona, we are dedicated to creating real-world AI systems that operate continuously in production environments. Our focus is on developing AI agents that can perceive, reason, remember, and act in physical spaces, starting with restaurants as our initial domain due to its complexity and high signal density.We thrive on research that stands the test of reality, addressing challenges such as partial observability, delayed effects, noisy signals, non-stationarity, and long-term outcomes.Research ScopeThis internship is designed for PhD students eager to tackle applied research challenges linked to deployed systems. You will explore questions stemming from live AI agents functioning in the real world, where ideal assumptions may fail, and understanding system behavior over time is essential.Required Research Background (PhD Level)We seek candidates with extensive research experience in at least one primary area, alongside a working knowledge of related fields.Primary Research Areas (at least one required)1. Sequential Decision MakingReinforcement learning, planning, or controlPOMDPs or decision-making under partial observabilityCredit assignment with delayed and sparse rewardsLong-horizon optimizationRelevant indicators:Publications in RL, planning, or control venuesExperience in implementing and evaluating decision-making agents2. World Modeling and State RepresentationLatent state models for dynamic environmentsTemporal abstraction and hierarchical representationsPersistent memory or state trackingModeling environments that evolve over timeResearch in state-space models, memory-augmented models, or temporal representations3. Reasoning Under Uncertainty and CausalityBelief state estimationUncertainty modeling in dynamic systems with incomplete or noisy informationResearch in probabilistic modeling, causal inference, or dynamic systems4. Multimodal Learning in Real EnvironmentsVision-language modelsLearning from asynchronous, noisy, or partially missing modalitiesSensor fusion or multimodal representation learningPublications or projects involving multimodal modelsExperience working with real-world (not solely synthetic) dataWhat You Will Work OnYour projects will be tailored to your expertise and may encompass:Designing AI systems that effectively navigate complex environments

1XFounded in 2015, 1X is pioneering the development of sophisticated humanoid robots tailored for household applications. Our vision is to create an abundant workforce through safe and intelligent humanoid technology.We are committed to excellence in all our endeavors, tackling the toughest challenges in robotics alongside some of the brightest minds in the industry. Every component of our robots, from motor coils to artificial intelligence, is designed and manufactured in-house, showcasing our vertically integrated approach. At 1X, you will lead significant projects, receive recognition for your contributions, and be rewarded based on your performance.At 1X Labs, our goal is to drive the science and technology that facilitate human-level, general-purpose humanoids.We rigorously analyze the gap between current humanoid capabilities and the standards expected for human-level performance. This involves a deep dive into fundamental principles, taking innovative and often unconventional routes, developing groundbreaking technologies, and translating these advancements into tangible products. Our unique position allows us to transform research findings into market-ready solutions through our cohesive integration of materials, component design, systems engineering, and manufacturing.Humanoids represent a highly integrated system where genuine progress occurs only when advancements in sensing, actuation, materials, control, and intelligence harmoniously evolve—pushed to their functional limits. 1X Labs is shaped by individuals who have extensive expertise in their respective fields, capable of reasoning confidently at these boundaries and engaging meaningfully with adjacent domains, understanding which constraints are truly significant.You possess deep capabilities in your field—your intuition honed through years of tackling complex, tangible problems. Interdisciplinarity is not merely an identity for you; it is a natural outcome of mastery in systems where no single discipline suffices.You thrive in environments that value technical depth, where ideas are rigorously tested against real-world applications, and research is only validated when it successfully reaches the market..

About 1X1X is a pioneering AI and robotics company located in Palo Alto, California. Our mission is to create an abundant society through the development of general-purpose robots capable of autonomously performing a wide array of tasks.We believe that true understanding and intelligence growth in humanoid robots can only be achieved by allowing them to coexist and learn alongside humans. Therefore, our focus is on designing friendly home robots that seamlessly integrate into daily life.We seek curious, driven, and passionate individuals eager to contribute to shaping the future of robotics and AI. If our mission resonates with you, we would love to hear from you and explore how you can be part of our exciting journey.Role OverviewAs a Robotics Test Engineer at 1X, you will engage in a multifaceted, hands-on role. This position is not limited to isolated testing; you will operate at the intersection of hardware, firmware, and software. Your primary objective will be to ensure that our robots are robust, reliable, and prepared for real-world applications by supporting the entire product lifecycle—from early research and development characterization through to final production validation. You’ll be expected to contribute across a wide range of technical areas and engage in cross-disciplinary debugging.

Founded in 2015, 1X is pioneering the development of cutting-edge humanoid robots tailored for household tasks. Our vision is to generate an abundant labor force through the creation of safe, intelligent humanoids.As a Mechanical Engineer at 1X Technologies, your primary focus will be on the design, construction, and validation of mechanical subsystems for advanced robotics and automation solutions. You will take ownership of components from conceptualization to production, with a particular emphasis on tendon mechanisms. Collaborating closely with design, testing, and manufacturing teams, you'll produce dependable and maintainable designs and documentation that align with performance, safety, and cost objectives in a dynamic R&D-to-production environment.Key ResponsibilitiesDesign and develop mechanical components and assemblies for robotic and automation systems.Devise solutions for rope/tendon-driven systems, including routing, anchoring, and tensioning.Utilize 3D CAD software for model creation, drawings, and GD&T.Conduct hand calculations and basic FEA to assess strength, stiffness, fatigue, and vibration.Create prototypes, perform bench and system-level testing, and iterate designs based on empirical data.Lead DFM/DFA reviews in collaboration with suppliers and internal manufacturing teams.Work with cross-functional teams to diagnose issues and enhance reliability.

AI Research Engineer, Scaling | InfrastructureLocation: Palo Alto, CA (on-site)At 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various sectors.The Role: As an AI Research Engineer specializing in Scaling, you will be responsible for architecting and implementing robust infrastructure that facilitates large-scale training, evaluation, and deployment for our fleet of robots. Your contributions will be essential in transitioning experimental systems into production-ready platforms, optimized for throughput, latency, and overall performance in both datacenter and edge environments. This role will significantly impact the efficiency of learning and inference processes, directly influencing the capabilities of our general-purpose humanoid robots.

About the Arc Institute The Arc Institute is an innovative scientific research organization dedicated to conducting groundbreaking basic science and technology development focused on understanding and treating complex human diseases. Based in Palo Alto, California, we operate independently while collaborating with leading institutions such as Stanford University, UCSF, and UC Berkeley. We believe that advancing scientific research requires new institutional models. Our approach includes: Comprehensive Funding: We fully finance our Core Investigators’ research teams, freeing them from the traditional constraints of project-based external grants. Advanced Technology: Recognizing the growing complexity of biomedical research, our Technology Centers develop, optimize, and deploy cutting-edge experimental and computational technologies in partnership with our Core Investigators. Exceptional Support: We provide unparalleled operational, financial, and scientific support, enabling researchers to undertake ambitious, high-risk projects aimed at significant advancements in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Cultivating a Positive Culture: We prioritize a research environment that nurtures scientific curiosity, a commitment to truth, broad ambition, and collaborative spirit. Having grown to over 350 staff with more than $650 million in committed funding and a state-of-the-art lab facility, the Arc Institute is poised for rapid expansion in the coming years. About the Position The Zhou Lab is seeking passionate, diligent, and inquisitive candidates. Our specialization lies in single-cell epigenomic modeling, utilizing high-throughput single-cell multiomic technologies and computational models to investigate the spatiotemporal dynamics of gene regulation. The chosen applicant will be pivotal in pushing the boundaries of generative AI applications in biology, focusing on DNA sequences, gene regulation, and perturbation modeling. You will be tasked with developing machine learning models tailored for biological data by leveraging innovative ML architectures, interpretability techniques, and more. Furthermore, your models will be applied to significant computational biology tasks, including genome mining and molecular interaction analysis.

About 1XAt 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, effectively addressing labor shortages and fostering innovation.As a Mechanical Engineer, you will play a crucial role in the design, development, and scaling of the head subsystem for our humanoid robot, NEO. This position encompasses the development and integration of structural, mechanical, and electromechanical elements that empower the robot with expressive, perceptive, and functional capabilities.Your responsibilities will include hands-on design, prototyping, and system integration while collaborating closely with electrical, software, manufacturing, and industrial design teams. You will oversee mechanical components and assemblies throughout their lifecycle, from initial concept and prototyping to validation and mass production. Your contributions will significantly impact the reliability, safety, aesthetics, and scalability of humanoid robots deployed globally.The right candidate will be an innovative problem-solver with robust mechanical design skills who excels in a dynamic product development environment.

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information throughout their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have timely access to essential knowledge, thereby enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, facilitating a more efficient utilization of collective intelligence across teams.Glean originated from Founder & CEO Arvind Jain’s profound insight into the challenges that employees encounter while seeking and comprehending information at work. Witnessing firsthand how fragmented knowledge and a multitude of SaaS tools hindered productivity, he aimed to create an enhanced solution – an AI-powered enterprise search platform that enables rapid and intuitive access to necessary information. Since its inception, Glean has transformed into a leading Work AI platform, merging enterprise-grade search, an AI assistant, and robust application and agent-building capabilities to fundamentally reshape the modern workplace.About the RoleWe are in search of a Software Engineer to become a vital member of Glean’s Data Foundations team—the unit responsible for the comprehensive data ingestion and management layer that powers Glean’s Search, AI Assistant, and Agent offerings across a multitude of enterprise applications and vast quantities of documents.Your contributions will directly influence the quality, timeliness, and reliability of the knowledge that each Glean user engages with daily.Your Responsibilities Include:Ingestion & ConnectivityDevelop and enhance connectors for a diverse array of SaaS and on-premise systems (including Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, GitHub, etc.).Ensure the seamless integration and continuous improvement of data flows to maintain system performance and reliability.

Join Teleo, an innovative robotics startup that is revolutionizing the construction industry. We specialize in transforming heavy construction equipment, such as loaders, dozers, excavators, and trucks, into autonomous robots. Our cutting-edge technology enables a single operator to effectively control multiple machines at once, enhancing operational efficiency, improving safety, and providing unparalleled comfort.Founded by Vinay Shet and Rom Clément, who previously spearheaded initiatives at Lyft’s Self Driving Car and Google Street View, Teleo is backed by prominent investors including YCombinator, Up Partners, and F-Prime Capital. Our solutions are already deployed across various continents and generating significant revenue.As we embark on a phase of rapid growth, this is an exceptional opportunity to join a team dedicated to creating impactful products in the realm of heavy machinery. You will be working on sophisticated 100,000-pound autonomous robots and engineering complex systems that integrate hardware, software, and artificial intelligence.About the Role In your role as a Wireless Networking Robotics Engineer at Teleo, you will spearhead the evolution and implementation of advanced wireless communication technologies, ensuring our fleet of heavy machinery operates seamlessly across a variety of environments and conditions. Your contributions will be pivotal in the success of Teleo’s Supervised Autonomy product, from quick assessments to thorough production deployments in the field. You will collaborate closely with both hardware and software teams at Teleo, integrating robust communication solutions to elevate reliability and uptime. Your involvement with domestic and international deployment teams will be key as we expand our market presence and introduce our groundbreaking solutions to new regions. We seek a passionate, multidisciplinary professional who excels at building reliable and reusable solutions. If you are excited to make a meaningful impact and be part of a team pioneering the future of heavy machinery, we want to hear from you! This position requires a willingness to travel at least 25% to construction sites at customer locations.

Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.