AI/ML Research Scientist in Advanced Technology

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.

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.

Join Bosch Group as a Wireless Research Scientist, where you will contribute to cutting-edge research and development in wireless technology. You will work collaboratively with a talented team of experts, focusing on innovative solutions that drive the future of connectivity.

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.

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.

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.

Role overview Bosch Group seeks an AI Research Scientist with expertise in Large Language Models (LLMs) and Agentic AI for its Sunnyvale office. The role centers on applying advanced research methods to develop new AI solutions that address real-world challenges across industries. Collaboration and team This position joins a team of specialists who combine creativity with technical skill. Open collaboration shapes the group’s approach, and team members regularly share ideas to tackle complex problems together.

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.

Job Responsibilities:Lead and innovate in AI research projects focusing on the labeling, prediction, classification, clustering, description, and fusion of multi-sensor data, including acoustic, telemetry time series, vibration, radar, lidar, image, Wi-Fi, and ultrasound data. Enhance advanced driver assistance systems (ADAS) in vehicles and AI functionalities across various Bosch products.Design, architect, and validate multi-modal deep learning and Time Series Foundation Models (TSFM) tailored for multivariate time series signals.Integrate and expand time series models to utilize data from auxiliary modalities such as videos and images, improving contextual understanding.Provide expert insights to management within technological sectors, supporting strategic planning, research and development trajectories, and investment decisions.Stay updated on cutting-edge technological advancements, documenting and sharing research outcomes through high-quality publications and patent submissions.

About the Institute of Foundation ModelsWe are a pioneering research lab focused on the development, understanding, application, and risk management of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make significant contributions to a knowledge-driven economy.Join our dynamic team and engage in the heart of innovative foundation model training, collaborating with top-tier researchers, data scientists, and engineers. Tackle groundbreaking challenges in AI development and contribute to transformative AI solutions that have the potential to revolutionize industries. Your strategic and innovative problem-solving skills will be vital in establishing MBZUAI as a global center for high-performance computing in deep learning, enabling impactful discoveries that inspire the future of AI innovation.Role OverviewDevelop and Enhance Distributed Pre-Training Frameworks· Implement DeepSpeed / FSDP / Megatron-LM on multi-node GPU clusters.· Design robust launch scripts, resilient checkpoints, and job monitoring systems (e.g., NCCL/GLOO/GPU).Transform Mathematical Concepts into High-Performance Production Code· Prototype novel optimizers or attention mechanisms using PyTorch/NumPy/JAX or similar frameworks.· Convert prototypes into efficient CUDA/Triton kernels with custom gradients and performance tests.Enhance Training Efficiency and Stability· Lead efforts in mixed-precision training, integrating bf16, fp8, etc., into regular workflows while assessing accuracy versus speed improvements and analyzing numerical stability.· Utilize kernel fusion, communication tuning, and memory optimization to achieve state-of-the-art throughput.Accelerate Research Progress· Develop logging and metrics systems, along with experiment-tracking tools, to facilitate rapid iteration.· Design ablation studies and statistical tests that validate or challenge new concepts.· Guide interns and junior engineers through clear asynchronous design documentation and code reviews.You will collaborate closely with researchers, deliver production code, and shape the landscape of large language models.

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 to a spectrum of industries, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Renowned by eighteen of the top twenty global automakers, as well as the U.S. military and its allies, our solutions are trusted to deliver unparalleled physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices spread across 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 adopt an in-office culture, expecting 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 Scientists to join our dynamic Research Group at Applied Intuition. Our mission is to innovate groundbreaking technologies that empower the next generation of physical AI, focusing on two pivotal applications that are transforming our daily lives: end-to-end autonomous driving and robotic general intelligence. Our team is composed of leading experts from prestigious institutions and companies, recognized for their outstanding contributions to academia and industry, including eight Best Paper awards from leading conferences and journals such as CVPR and ICRA. To learn more, visit appliedintuition.com/research.Backed by industry-leading tools and infrastructure, researchers have access to extensive datasets derived from large fleets and can deploy their developed methods across diverse autonomous and robotic systems, including self-driving cars and trucks.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of shaping the future of physical artificial intelligence. Established in 2017 and currently valued at $15 billion, this leading Silicon Valley company is developing the essential digital infrastructure to infuse intelligence into every moving machine globally. Applied Intuition serves various sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the top twenty global automakers, as well as the United States military and its allies, our solutions are pivotal for delivering physical intelligence. With headquarters in Sunnyvale, California, our presence extends globally with 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 are committed to an in-office work model, expecting 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 adjusting hours to accommodate family commitments.About the Role and TeamWe are seeking enthusiastic Research Scientists to join our Research Group at Applied Intuition. Our team's mission is to pioneer advanced technology that enables the next generation of physical AI, focusing on the most challenging applications that are transforming everyday life: end-to-end autonomous driving and robotic generalist applications. Our team comprises leading experts from prestigious institutions and companies, recognized for their outstanding contributions in both academia and industry, including eight Best Paper awards from prestigious conferences and journals like CVPR and ICRA. To learn more, visit appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize vast datasets from extensive fleets and implement their innovations across various autonomous and robotic systems, including self-driving cars and trucks, and more.

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.

Join Cerebras Systems as an R&D Engineer specializing in Advanced Technology, focusing on Artificial Intelligence (AI) and Machine Learning (ML) within High-Performance Computing (HPC). In this pivotal role, you will contribute to cutting-edge projects that drive innovation in AI and ML technologies.As part of our dynamic team, you will collaborate with top-tier engineers and researchers to develop revolutionary solutions that enhance computing capabilities. Your expertise will be instrumental in shaping the future of AI and HPC technologies.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, facilitate informed decision-making, and accelerate operations. This includes features such as real-time alerts, effortless clip sharing, and comprehensive visibility across multiple locations.Joining our agile and dynamic team means being part of a collaborative environment that prioritizes clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We are seeking engineers who thrive at the nexus of robotics, real-time systems, and deep learning. This position focuses on implementing high-performance vision and multimodal models on robotic platforms, where factors such as latency, reliability, and hardware limitations are paramount.

About the Institute of Foundation ModelsAt the Institute of Foundation Models, we are committed to pioneering research in building, comprehending, and managing foundation models. Our mission is to push the boundaries of AI research, cultivate the next wave of AI innovators, and significantly contribute to a knowledge-driven economy.Join our dynamic team and engage in the forefront of foundation model training, collaborating with elite researchers, data scientists, and engineers. You will tackle some of the most pressing and transformative challenges in AI development, contributing to revolutionary AI solutions that can change entire industries. Your strategic and innovative problem-solving prowess will be key in positioning MBZUAI as a leading global hub for high-performance computing in deep learning, driving significant discoveries that will inspire future AI pioneers.The RoleAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, you will play a pivotal role in the advancement of state-of-the-art language processing technologies and the development of intelligent systems. Your responsibilities will encompass a broad range of tasks, including the research, development, and implementation of NLP solutions, with emphasis on Python programming, machine learning techniques, and deep learning methodologies.

We are seeking a highly skilled Senior Clinical Research Engineer with expertise in advanced energy systems to join our dynamic team at Intuitive Surgical. In this role, you will play a pivotal part in driving innovative research initiatives, contributing to the development and enhancement of cutting-edge medical technologies. Your ability to analyze complex data, collaborate with multidisciplinary teams, and communicate findings effectively will be crucial in advancing our product offerings.As a Senior Clinical Research Engineer, you will be responsible for designing and conducting experiments, ensuring compliance with industry standards, and presenting your research findings to stakeholders. If you are passionate about improving patient outcomes through advanced technology, we want to hear from you!

About the Institute of Foundation ModelsAt the Institute of Foundation Models, we are committed to pioneering research that enhances the understanding, utilization, and risk management of foundation models. Our mission focuses on advancing research, cultivating future AI innovators, and making transformative contributions to a knowledge-driven economy.Join our dynamic team and engage in the forefront of groundbreaking foundation model training alongside leading researchers, data scientists, and engineers. You will address the most critical and impactful challenges in AI development, contributing to innovative AI solutions with the potential to revolutionize industries. Your strategic and creative problem-solving abilities will be key in positioning MBZUAI as a premier global center for high-performance computing in deep learning, fostering discoveries that will inspire the next generation of AI visionaries.Position SummaryAs a valued member of the Agents team, you will confront research and engineering obstacles related to training advanced agentic language models capable of employing reasoning and tool use to perform tasks on computers. The scope of challenges includes constructing high-quality training datasets, developing robust evaluation methods, and innovating reinforcement learning infrastructures, algorithms, and environments. We are seeking candidates with diverse expertise, ranging from algorithmic and empirical research to large-scale systems and optimization, reflecting the wide array of compelling problems we aim to address. Depth in any of these areas is highly regarded; there is no single “correct” background.Key Responsibilities· Propose, prototype, and scale systems and algorithms that support agentic learning.· Develop innovative paradigms for agentic behavior that extend beyond existing methodologies.· Contribute to technical reports, research publications, and open-source software initiatives.· Collaborate with interdisciplinary teams to create state-of-the-art foundation models.

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.

About the Role Illumio is seeking an AI Research and Automation Specialist to join its Sunnyvale headquarters. This team explores new directions in artificial intelligence and automation, applying advanced technologies to real business challenges. What You Will Do Automate workflows and processes to improve efficiency across research and operations Support and enhance research initiatives with AI-driven solutions Contribute to projects that expand the company’s use of artificial intelligence Collaborate with peers to shape how AI is applied throughout the organization Location This position is based at Illumio’s headquarters in Sunnyvale, California.