Machine Learning Engineer - Robotics and Computer Vision

Join our innovative team at Intuitive Surgical, Inc., where we are redefining healthcare through advanced robotics and computer vision. As a Machine Learning Engineer, you will be at the forefront of developing cutting-edge algorithms that enhance robotic performance and improve patient outcomes. This role offers an exciting opportunity to work on transformative technology that makes a real impact in the medical field.

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.

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.

Join our dynamic team as a Senior Machine Learning Engineer at Intuitive, where you will play a pivotal role in advancing our robotic surgery technologies. We are looking for a talented individual with a strong background in machine learning, artificial intelligence, and data analysis.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and accelerate operations, featuring real-time alerts, effortless clip sharing, and multi-site visibility.Joining our dynamic and agile team means becoming part of a culture that prioritizes clarity, quality, 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 seek an exceptionally skilled software engineer to develop high-performance, real-time software that operates on edge devices while adhering to stringent latency and memory limitations. This position emphasizes deterministic execution, distributed system architecture, and low-level performance enhancements. You will focus on constructing the infrastructure and runtime systems that enable real-time robotics applications.

As a Staff Machine Learning Engineer at Intuitive Surgical, you will play a critical role in developing advanced machine learning algorithms that drive innovative healthcare solutions. Your expertise will contribute to enhancing robotic surgical systems, improving patient outcomes, and redefining the future of surgery.Join our dynamic team and leverage your skills to address complex challenges in the medical field, collaborating with cross-functional teams to implement transformative technologies.

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 an innovative research laboratory focused on the creation, comprehension, application, and risk management of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.Joining our team presents a unique opportunity to engage in the core of advanced foundation model training, collaborating with leading researchers, data scientists, and engineers as we address the most pivotal and influential challenges in AI advancement. Your work will involve the creation of groundbreaking AI solutions with the potential to revolutionize entire industries. Employing strategic and innovative problem-solving skills will be crucial in establishing MBZUAI as a premier global center for high-performance computing in deep learning, fostering remarkable discoveries that inspire future AI trailblazers.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the development, understanding, application, and risk management of foundational models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make substantial contributions to a knowledge-driven economy.Join us and collaborate with top-tier researchers, data scientists, and engineers on the forefront of foundational model training. Engage in solving critical challenges that can redefine entire sectors through advanced AI solutions. Your strategic and innovative problem-solving skills will play a vital role in positioning MBZUAI as an international leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI trailblazers.The Role We are seeking a skilled distributed ML infrastructure engineer to enhance and expand our training systems. You will collaborate closely with distinguished researchers and engineers to:• Develop and scale distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)• Implement distributed optimizers based on mathematical specifications• Create robust configuration and launching systems across multi-node, multi-GPU clusters• Manage experiment tracking, metrics logging, and job monitoring for enhanced external visibility• Enhance the reliability, maintainability, and performance of training systems• While much of your work will support large-scale pre-training, prior pre-training experience is not mandatory; strong infrastructure and systems expertise are our primary focus.Key Responsibilities • Distributed Framework Ownership – Extend or adapt training frameworks (e.g., DeepSpeed, FSDP) to accommodate new applications and architectures.• Optimizer Implementation – Convert mathematical optimizer specifications into distributed implementations.• Launch Config & Debugging – Develop and troubleshoot multi-node launch scripts with adaptable batch sizes and parallelism strategies.

Illumio builds technology to contain ransomware and security breaches, helping organizations defend against cyber threats. The Illumio AI Security Graph underpins a platform that spots and contains threats in hybrid multi-cloud setups, aiming to stop attacks before they spread. Illumio is recognized as a leader in microsegmentation and supports Zero Trust architectures for critical infrastructure. The engineering team focuses on advancing cybersecurity through leadership, autonomy, and a strong sense of ownership. Engineers here develop and maintain a scalable SaaS platform using cloud-native tools, with deployments in both cloud and on-premises environments. Precision, quality, and collaboration shape the team's work, and engineers are encouraged to take initiative at every level. This Senior Machine Learning Engineer role is based onsite at Illumio’s Sunnyvale headquarters. The position centers on designing and scaling systems that power Illumio’s AI-driven security platform. Work involves handling large-scale data, distributed systems, and building advanced AI agents. Key Responsibilities Design and optimize high-throughput, event-driven systems with Apache Kafka to support real-time data flows. Develop and maintain large-scale data pipelines using Apache Spark or Flink for high-volume analytics and AI features. Create advanced AI agents that handle autonomous planning, memory management, and reliable tool use in distributed environments. Lead architectural design for containerized services on Kubernetes, focusing on availability and scalability across cloud platforms such as AWS, Azure, and GCP.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is creating the essential digital framework that will infuse intelligence into every moving machine worldwide. Our solutions serve key sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three main areas: tools and infrastructure, operating systems, and autonomy. Our trusted solutions are utilized by 18 of the top 20 global automakers and the United States military along with its allies. Our headquarters is located 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. Find out more at applied.co.We prioritize in-office collaboration, expecting our employees to work from their Applied Intuition office five days a week, while also embracing flexibility. Employees are trusted to manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.Hear from an Engineer:About the roleWe are searching for a talented software engineer specializing in perception for autonomous vehicles or mobile robotics. Your role will involve enhancing perception modules within our autonomous vehicle framework, including the development of 4D world representations to facilitate seamless autonomy. You will also lead the design and implementation of computer vision and machine learning strategies that empower self-driving vehicles to navigate effectively.In this dynamic and customer-centric team environment, you will not only contribute your engineering skills but also gain insights into best practices within the evolving autonomy sector. Our fast-paced culture encourages innovation and collaboration.

At Bee Genius, we are pioneering the future of work today with innovative AI solutions that transform industries.Job Overview: We are looking for a talented AI/Machine Learning Engineer to become a vital part of our dynamic team. In this role, you will leverage your expertise to develop and deploy cutting-edge machine learning models and algorithms aimed at addressing complex business challenges.Key Responsibilities:Design, build, and refine machine learning models and algorithms.Train and assess models using extensive datasets.Optimize models for enhanced performance and accuracy.Collaborate with data scientists and software engineers to integrate models into operational systems.Stay abreast of the latest trends in AI and machine learning technologies.Promote the ethical deployment of AI solutions.

Join Our Innovative Team at the Institute of Foundation ModelsAt IFM, we are pioneers in developing, understanding, and managing foundation models. Our mission is to advance research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy. As a member of our esteemed team, you will engage in the forefront of cutting-edge foundation model training, collaborating with top-tier researchers, data scientists, and engineers. Together, we will address the most significant and impactful challenges in AI development. You will play a crucial role in creating revolutionary AI solutions that have the potential to transform entire industries. Your strategic and innovative problem-solving abilities will be essential in establishing MBZUAI as a global leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI pioneers. The Role IFM is developing the foundational compute infrastructure that will drive future breakthroughs in AI and computational science. We are seeking a High Performance Computing Software Engineer to collaborate in designing, developing, and operating the software systems that manage our extensive AI workloads. In this position, you will work at the crossroads of high-performance computing and machine learning. You will be part of a dedicated team focused on creating the software stack that supports the training of advanced ML models using over 1000 GPUs, while ensuring our infrastructure remains robust, efficient, and user-friendly.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is building the essential digital infrastructure to infuse intelligence into every moving machine worldwide. We cater to industries such as automotive, defense, trucking, construction, mining, and agriculture through three primary sectors: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers, along with the United States military and its allies, to deliver exceptional physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices 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 are an in-office company, expecting our employees to primarily work from their Applied Intuition office five days a week. We understand the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.About the RoleWe are in search of a skilled software engineer with extensive experience in optimizing machine learning models and deploying them in production-grade embedded runtime environments. Your expertise will span the entire ML framework stack, including PyTorch, JAX, ONNX, TensorRT, CUDA, XLA, and Triton.At Applied Intuition, You Will:Lead ML performance optimization across various technologies for both on-road and off-road ADAS/AD stacks aimed at deployment on a range of embedded computing platforms.Devise compute usage strategies to enhance efficiency and minimize latency of model inference for compute boards chosen by our customers.Engage in model pruning and quantization, ensuring successful deployment on memory-constrained platforms.Collaborate closely with ML engineers and software developers to identify and optimize efficient model architecture solutions.Establish methodologies to...

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley firm is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. Serving vital sectors such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition focuses on three primary areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the world's top 20 automakers, along with the United States military and its allies, to deliver transformative physical intelligence. With headquarters in Sunnyvale, California, we boast 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 culture of in-office collaboration, with a primary expectation for our team members to work from the Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This includes the possibility of occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family obligations.About the RoleThe Data & Machine Learning Pipeline Engineer will play a crucial role in Applied Intuition's data flywheel initiative, developing systems that link vehicle data collection, training, and automated model enhancement. You will establish the infrastructure that enables our autonomous driving stack to learn continuously from both real-world and simulated data, thereby accelerating development across teams focused on perception, planning, and control.This position resides at the intersection of large-scale data engineering and machine learning infrastructure. You will collaborate closely with ML engineers and system developers to automate processes related to data selection, curation, and model iteration, ensuring our vehicles can improve autonomously with minimal human input.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, our Silicon Valley-based company is dedicated to creating the essential digital infrastructure that empowers intelligence across all moving machines globally. Our solutions serve critical sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three main domains: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the top 20 global automakers, as well as the U.S. military and its allies, Applied Intuition is committed to delivering unparalleled physical intelligence solutions. Our headquarters is located in Sunnyvale, California, complemented by offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. For more information, visit applied.co.We prioritize in-office collaboration and expect our employees to work primarily from our Applied Intuition office five days a week. However, we value flexibility and trust our team members to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving early when necessary to accommodate personal commitments.About the RoleAs an Engineering Manager on our Machine Learning Platform team, you will lead an exceptional group of engineers dedicated to building the infrastructure that enables Physical AI at scale. Your team will oversee three pivotal areas: Training & Inference Orchestration, where we develop frameworks to efficiently schedule and execute extensive tasks across thousands of GPUs; GPU Cluster Architecture, where we design and expand what will become the industry's largest GPU cluster for Physical AI; and Performance Optimization, where we maximize hardware utilization, throughput, and cost efficiency for large-scale training and inference workloads. You will collaborate at the intersection of systems engineering and machine learning, working directly with stack development and research teams to eliminate bottlenecks and expedite the transition from experimentation to production.

Join Intuitive Surgical, a pioneering company in robotic-assisted surgery, as the Vision Hardware Engineering Manager. In this dynamic role, you will lead a talented team of engineers in the development and optimization of cutting-edge vision hardware systems for our advanced surgical platforms. Your expertise will drive innovation, ensuring our products maintain the highest standards of safety and effectiveness. Collaborate with cross-functional teams to integrate state-of-the-art technologies and contribute to the advancement of minimally invasive surgical procedures.

Role overview Bosch Group is looking for a Senior Research Scientist in Sunnyvale to focus on Vision, Language, and Action (VLA) Models. The position involves leading research efforts that advance artificial intelligence and machine learning, with a particular focus on integrating visual, language, and action-based data into unified models. What you will do Lead research initiatives in VLA models, helping to shape the next generation of AI applications. Collaborate with a team of experts to design and build models that connect vision, language, and action understanding. Contribute to Bosch Group’s technology strategy and support progress in AI research. Impact The research from this role will directly inform Bosch Group’s strategic choices and drive advancements in artificial intelligence technology.

Join Bosch as a Vision-Language-Navigation Systems Intern for Advanced Driver Assistance Systems (ADAS). In this role, you will engage in innovative research focused on specific VLA aspects tailored for ADAS applications, such as memory integration and precise maneuver fine-tuning.Your key responsibilities will include:Conducting cutting-edge research and engineering in multimodal large language models (LLMs), 3D perception, navigation, and planning to tackle challenges in autonomous systems.Applying research findings to real-world scenarios through high-quality implementation.Integrating developed systems and software into Bosch’s existing platforms.Summarizing research outcomes in publications and patent applications.

Discover Applied IntuitionFounded in 2017 and currently valued at $15 billion, Applied Intuition, Inc. is at the forefront of advancing physical AI technologies. Our mission is to establish the digital infrastructure that will integrate intelligence into moving machines worldwide. We cater to diverse sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three key areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by leading global automakers and the United States military. Headquartered in Sunnyvale, California, we also have offices in major cities worldwide including Washington, D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Explore more at applied.co.As an in-office company, we expect our employees to work from the Applied Intuition office five days a week. We also value flexibility, allowing for responsible management of schedules, which may include occasional remote work or adjusted hours for family commitments.Role Overview and Team DynamicsWe are excited to invite multiple passionate Research Engineers to join our Research Group at Applied Intuition. Our mission is to pioneer groundbreaking technology that will drive the next generation of physical AI, focusing on challenging applications such as end-to-end autonomous driving and robotic generalists. The team comprises leading experts recognized for their academic and industry contributions, including several Best Paper awards from premier conferences like CVPR and ICRA. Learn more about our research initiatives at appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets, deploying innovative methods across various autonomous and robotic systems, including self-driving vehicles.