Research Scientist - Distributed Machine Learning

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing the future of physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is developing the digital infrastructure essential for instilling intelligence into every moving machine globally. Applied Intuition provides innovative solutions…

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and now valued at a remarkable $15 billion, our Silicon Valley-based company is dedicated to developing the digital infrastructure necessary to infuse intelligence into every moving machine across the globe. We cater to various sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers and the United States military along with its allies. Our headquarters is in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.As an in-office company, we expect our employees to primarily work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the Role and TeamWe are seeking multiple enthusiastic Research Engineers to join our Research Group at Applied Intuition. The group's mission is to pioneer innovative technology that supports the next generation of physical AI, focusing particularly on the transformative applications of end-to-end autonomous driving and robotic generalist solutions. Our team comprises leading experts from top institutions and organizations, recognized for their outstanding academic and industry contributions, including eight Best Paper awards at prestigious conferences and journals such as CVPR and ICRA. To learn more, visit appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets and implement their developed methods into various autonomous and robotic systems, including self-driving cars and trucks.

About Applied IntuitionApplied Intuition, Inc. is revolutionizing the future of physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley innovator is developing the essential digital framework to infuse intelligence into every moving machine globally. Our services cater to vital sectors such as automotive, defense, trucking, construction, mining, and agriculture, focusing on three main pillars: tools and infrastructure, operating systems, and autonomy. Renowned leaders, including 18 of the top 20 global automakers and the United States military along with its allies, rely on our solutions for advancing physical intelligence. Our headquarters is in Sunnyvale, California, with additional offices located in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.As an in-office company, we expect our employees to primarily work at the Applied Intuition office five days a week. However, we understand the need for flexibility and trust our employees to manage their schedules responsibly. This could involve occasional remote work, starting the day with morning meetings from home before coming to the office, or leaving earlier when necessary for family commitments.About the Role:We are actively seeking passionate Research Interns to become part of our Research Group at Applied Intuition. Our mission is to develop pioneering technology that empowers the next generation of physical AI, particularly in the most challenging domains that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team comprises distinguished experts from leading institutions and companies, acclaimed for their outstanding academic and industry contributions, including eight Best Paper awards at top conferences and journals such as CVPR and ICRA. For more information, visit appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets and implement their developed methods across various autonomous and robotic systems, including self-driving cars and trucks, autonomous mining and construction machines, humanoid robots, and dexterous hands.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is dedicated to developing the essential digital infrastructure that will empower intelligent operations in every vehicle and machine worldwide. Our innovative solutions cater to the automotive, defense, trucking, construction, mining, and agriculture sectors, focusing on three pivotal areas: tools and infrastructure, operating systems, and autonomous capabilities. Our reputation is underscored by the trust placed in us by 18 of the top 20 global automakers and the United States military, among others. Our headquarters is in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We promote a collaborative in-office culture and expect our team members to primarily work from their Applied Intuition office five days a week. However, we also value flexibility, allowing our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early to meet family obligations.About the Role and TeamWe are seeking enthusiastic Research Scientists to join our dynamic Research Group at Applied Intuition. Our mission is to develop pioneering technologies that drive the evolution of physical AI, particularly in two transformative applications: end-to-end autonomous driving and general-purpose robotics. Our team comprises distinguished experts from leading institutions and companies, celebrated for their remarkable contributions to both academia and industry, including eight Best Paper awards at prestigious conferences such as CVPR and ICRA. Learn more about our research initiatives at appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can leverage millions of miles of data from extensive fleets and implement their innovative methods across diverse autonomous and robotic systems, including self-driving vehicles and autonomous machinery.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the creation, comprehension, utilization, and risk management of foundation models. Our mission is to propel advancements in research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.As a member of our esteemed team, you'll engage with leading researchers, data scientists, and engineers on the forefront of foundation model training, addressing some of the most crucial challenges in AI development. This role presents a unique opportunity to develop groundbreaking AI solutions with the potential to transform entire industries. Your strategic and innovative problem-solving capabilities will be vital in positioning MBZUAI as a global center for high-performance computing in deep learning, inspiring future AI trailblazers.Position SummaryAs a Research Scientist on our Reinforcement Learning team, you will be instrumental in shaping our scientific and technical strategies towards developing advanced capabilities in Foundation Models. This position requires innovating new methodologies in Reinforcement Learning to drive paradigm shifts in foundation modeling. Your responsibilities will include prototyping and refining novel learning approaches, enhancing large-scale RL training infrastructure, and producing reproducible code for public dissemination. Additionally, you will be expected to cultivate and maintain an impactful research portfolio through both internal and external collaborations.Key Responsibilities- Innovate research focused on large-scale self-play for foundation model training, agentic tasks, and equipping models with the ability to learn proactively from their environment.- Initiate and pursue cutting-edge algorithmic strategies within reinforcement learning to define and advance emergent capabilities in Foundation Models.- Engage in full-stack engineering, encompassing data curation, model architecture, algorithm design, and the final deployment of models for end-users with a commitment to high-quality, documented, and maintainable code.- Contribute to technical reports and research publications.- Represent MBZUAI at industry conferences and events.

Role overview Bosch Group is hiring a Research Scientist to work on comprehensive planning in autonomous systems. This role is based in Sunnyvale, CA and focuses on end-to-end planning for advanced autonomy projects. The work centers on research and development that shapes the future of autonomous technology. What you will do Advance research and development in planning for autonomous systems. Use technical expertise to improve how autonomous technologies perform and operate. Support projects that help define the capabilities and direction of upcoming autonomous systems. Location Sunnyvale, CA

About Applied IntuitionApplied Intuition, Inc. is at the forefront of shaping the future of physical AI. Founded in 2017, our company is valued at $15 billion and is dedicated to building the digital infrastructure necessary to integrate intelligence into every moving machine worldwide. We provide innovative solutions across various sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on three key areas: tools and infrastructure, operating systems, and autonomy. Our expertise is trusted by 18 of the top 20 global automakers, as well as the United States military and its allies. We are headquartered in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We embrace a strong in-office culture, expecting our team members to work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work and accommodating family commitments.About the Role and TeamWe are seeking multiple enthusiastic Research Scientists to join our Research Group at Applied Intuition. Our mission is to pioneer advanced technologies that enable next-generation physical AI, specifically focusing on the two most critical applications transforming our daily lives: end-to-end autonomous driving and robotic generalist systems. Our team comprises leading experts from premier institutions and organizations, recognized for their outstanding contributions to academia and industry, including eight Best Paper awards at esteemed conferences and journals like CVPR and ICRA. To learn more about our research initiatives, visit appliedintuition.com/research.Equipped with industry-leading tools and infrastructure, our researchers can access vast datasets from extensive fleets and implement the methodologies they develop into various autonomous and robotic systems, including self-driving vehicles and automation technologies.

Role overview The Senior Research Scientist position at Bosch Group focuses on advancing end-to-end planning for autonomous systems. Located in Sunnyvale, this role centers on research that drives progress in autonomous technologies. Key responsibilities Lead research projects that explore and improve end-to-end planning for intelligent systems. Work alongside colleagues from diverse technical backgrounds. Support the ongoing development of autonomous technology within Bosch. Collaboration and impact Collaboration with multidisciplinary teams is central to this role. The work directly influences the direction and future capabilities of autonomous systems at Bosch through research and innovation.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is building the essential digital infrastructure to infuse intelligence into every moving machine on Earth. Serving a diverse range of industries including automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition excels in three key domains: tools and infrastructure, operating systems, and autonomy. Eighteen of the world's top 20 automakers, along with the United States military and its partners, rely on our solutions to deliver physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, FL; Ann Arbor, MI; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.As an in-office company, we expect our employees to primarily work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.Role and Team OverviewWe seek a dedicated Research Engineer (AI/RL Infrastructure) to join our Research Group at Applied Intuition. This position is perfect for engineers who design, build, and maintain large-scale machine learning systems and collaborate closely with researchers to innovate and enhance the foundational platform for next-generation physical AI systems.The Research Group's mission is to develop pioneering technologies that facilitate next-generation physical AI, focusing on two of the most challenging applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team comprises leading experts from prestigious institutions and organizations, recognized for their outstanding contributions in both academia and industry, including multiple Best Paper awards at top conferences and journals such as CVPR and ICRA. For further insights, visit appliedintuition.com/research.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and valued at $15 billion, our Silicon Valley-based company is building the essential digital infrastructure to integrate intelligence into every mobile machine worldwide. We cater to the automotive, defense, trucking, construction, mining, and agriculture sectors across three primary domains: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the world's 20 leading automotive manufacturers, as well as the U.S. military and its allies. Our headquarters are located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, FL; Ann Arbor, MI; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We are an in-office organization, and we expect our team members to work predominantly from the Applied Intuition office five days a week. Nevertheless, we understand the significance of flexibility and trust our employees to responsibly manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the Role:We are seeking enthusiastic Research Interns to join our Research Group at Applied Intuition. Our group's mission is to develop state-of-the-art technology that enables the next generation of physical AI. We focus on two of the most complex applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team includes leading experts from prestigious institutions and companies, recognized for their outstanding contributions to academia and industry, with accolades including eight Best Paper awards at top conferences and journals such as CVPR and ICRA. For more details, visit appliedintuition.com/research.Equipped with industry-leading tools and infrastructure, our researchers have access to millions of miles of data from extensive fleets and can implement the methods they develop into various autonomous and robotic systems, including self-driving vehicles, autonomous mining and construction machines, humanoid robots, and dexterous hands.

At Cerebras Systems, we are at the forefront of AI technology, developing the world's largest AI chip that is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture enables the computational power of dozens of GPUs on a single chip, simplifying programming to the ease of handling one device. This unique design allows us to achieve unparalleled training and inference speeds, empowering machine learning practitioners to seamlessly deploy large-scale ML applications without the complexity of managing numerous GPUs or TPUs.Our clientele includes leading model labs, global enterprises, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras aimed at leveraging 750 megawatts of scale to revolutionize critical workloads through ultra-high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, exceeding GPU-based hyperscale cloud inference services by over tenfold. This significant boost in speed is transforming the user experience of AI applications, facilitating real-time iteration and enhancing intelligence through added agentic computation.About The RoleAs an Applied Machine Learning Research Scientist at Cerebras, you will be instrumental in converting modern machine learning methodologies into scalable, high-performance systems. This position focuses on the intersection of modeling and systems, emphasizing the efficient execution of existing algorithms rather than merely publishing new ones. Your efforts will significantly influence the training, optimization, and deployment of large language models (LLMs) on one of the most sophisticated AI platforms in existence.You will collaborate closely with fellow researchers and senior engineers to enhance workflows for LLM pretraining, fine-tuning, and reinforcement learning-based post-training. Your responsibilities will encompass building training pipelines, debugging complex system behaviors, improving model quality, and refining data and evaluation strategies. Your contributions will have a direct and meaningful impact on advancing our capabilities in AI.

Role Overview Bosch Group is seeking a Research Engineer focused on End-to-End Autonomous Systems in Sunnyvale. This position centers on advancing the technology behind autonomous vehicles, with a strong emphasis on both research and practical implementation. What You Will Do Develop and implement advanced algorithms for autonomous systems Design system architectures that improve autonomous vehicle performance Contribute technical expertise to projects shaping the future of autonomous mobility Location This role is based in Sunnyvale.

Join Bosch as an enthusiastic intern and contribute to pioneering advancements in reinforcement learning and simulation for autonomous vehicle planning. This role focuses on innovative research and development of cutting-edge algorithms, conducting experiments, and translating groundbreaking ideas into viable products.Internship Opportunities: Collaborate with a team of skilled researchers and engineers in one of the following domains:GPU-Accelerated Simulation for Reinforcement Learning:Design and improve high-performance, scalable simulation environments specifically for reinforcement learning applications in autonomous driving.ML-Based Planning Models Integration:Create, train, and embed planning models for autonomous driving, utilizing GPU-accelerated simulations to enhance performance in complex driving scenarios.Hybrid Learning Approaches:Innovate and enhance learning methodologies that integrate imitation and reinforcement learning, emphasizing multi-agent self-play techniques.Key Responsibilities:Engage in transformative engineering projects that apply deep learning and reinforcement learning to resolve challenges in autonomous driving planning and simulation.Collaborate with an international team of experts to implement advanced research results into Bosch's business units, testing and validating concepts in simulated environments and with self-driving vehicles.Work alongside domain specialists to explore novel learning-based planning and decision-making strategies.Conduct benchmarking and validation of models using extensive datasets and simulations.Share research outcomes through comprehensive internal reports and potential external publications.

About the Institute of Foundation ModelsAt the Institute of Foundation Models (IFM), we are committed to pioneering research related to building, comprehending, and managing foundation models effectively. Our goal is to push the boundaries of research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.Joining our dynamic team means collaborating with top-tier researchers, data scientists, and engineers on the forefront of foundation model training. You will engage in developing innovative AI solutions that have the potential to transform entire industries. Your strategic problem-solving skills will play a crucial role in positioning MBZUAI as a global leader in high-performance computing for deep learning, facilitating groundbreaking discoveries that inspire future AI pioneers.The RoleWe are the AllWorld Team within the Institute of Foundation Models (IFM) at MBZUAI. Our team is at the cutting edge of developing PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models that aim to expand machine intelligence beyond language.Our mission encompasses addressing the fundamental challenges associated with world modeling and establishing a new paradigm for next-generation machine reasoning. We invite passionate individuals who align with our vision and are eager to redefine the landscape of AI.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the construction, comprehension, utilization, and risk management of foundation models. Our mission is to propel research forward, cultivate the upcoming generation of AI innovators, and drive significant advancements in a knowledge-driven economy.Joining our team offers you the chance to engage with groundbreaking foundation model training at the forefront of technology. Collaborate with esteemed researchers, data scientists, and engineers to address key challenges in AI advancement. You will contribute to the development of innovative AI solutions with the potential to transform various industries. Your strategic and creative problem-solving skills will play a vital role in establishing MBZUAI as a premier global center for high-performance computing in deep learning, fostering discoveries that will inspire future AI leaders.The RoleAs a Research Scientist in the Data team, you will be responsible for curating high-quality web-scale data to drive the evolution of next-generation foundation models. Your work will involve investigating and consolidating diverse data sources and collaborating with cross-functional teams to perform comprehensive data research, contributing to MBZUAI's objective of catalyzing impactful AI breakthroughs and reinforcing our leadership in the global AI research landscape. Your expertise will be crucial in enhancing the efficacy of large-scale machine learning models while supporting the creation of transformative AI tools capable of influencing industries worldwide.

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

About the Institute of Foundation ModelsWe are a pioneering research laboratory committed to the creation, understanding, application, and risk management of foundation models. Our mission is to propel research, foster the next generation of AI innovators, and make transformative strides in a knowledge-driven economy.Joining our team offers you the chance to engage in forefront foundation model training, collaborating with esteemed researchers, data scientists, and engineers. Together, we will confront the most essential and impactful challenges in AI development. You will be instrumental in developing revolutionary AI solutions poised to transform industries. Your strategic and innovative problem-solving skills will help establish MBZUAI as a leading center for high-performance computing in deep learning, driving significant discoveries that motivate the next wave of AI pioneers.The RoleAs a Research Scientist focusing on data-centric large language model (LLM) advancement, you will work at the forefront of how LLMs reason, retrieve, and interact with external datasets. Your responsibilities will include identifying, collecting, and organizing datasets that empower LLMs to tackle complex reasoning tasks. You'll also develop scalable systems and tools that bridge cutting-edge research with robust engineering practices. Your contributions will have a direct influence on the performance and reliability of intelligent systems at MBZUAI IFM.

About the Institute of Foundation ModelsWe are a pioneering research laboratory dedicated to the exploration, development, and responsible management of foundation models. Our mission is to propel research forward, cultivate the next wave of AI innovators, and foster transformative advancements in a knowledge-driven economy.Joining our team means engaging in groundbreaking foundation model training alongside leading researchers, data scientists, and engineers. You will confront significant challenges in AI development, working on innovative solutions that have the power to revolutionize entire industries. Your strategic and innovative problem-solving abilities will be vital in establishing MBZUAI as a premier global center for high-performance computing in deep learning, driving discoveries that inspire future AI trailblazers.The RoleAs a Research Scientist with a focus on Computer Vision, you will play a pivotal role in advancing state-of-the-art computer vision technologies and enhancing intelligent systems. Your responsibilities will include researching, developing, and implementing Computer Vision solutions, with particular emphasis on Python programming, machine learning techniques, and deep learning methodologies.

Job Responsibilities:Lead and conduct pioneering research on AI initiatives that label, predict, classify, cluster, describe, and integrate multi-sensor data, including acoustic, telemetry time-series signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data, aimed at enhancing Advanced Driver Assistance Systems (ADAS) in vehicles and AI functionalities across various Bosch products.Design, architect, and validate multi-modal deep learning models and Time Series Foundation Models (TSFM) that effectively handle multivariate time-series signals, with proficiency in both low and high-frequency models.Enhance time-series models by integrating auxiliary modalities such as video and image data to improve contextual understanding.Provide expert insights to management regarding technological advancements, contributing to strategic planning, R&D direction, and investment decisions.Remain informed about cutting-edge technological developments, and document and share research findings through high-impact publications and patent applications.