Senior Machine Learning Engineer at Intuitive | Sunnyvale

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.

Who You AreWe are seeking talented Machine Learning Systems Engineers to contribute to the development of the world's largest end-to-end 3D native machine learning systems. You will collaborate on our comprehensive ML framework tailored for 3D applications, encompassing pretraining, fine-tuning, inference, and more. We value strong hands-on engineering skills, a passion for learning, and an ability to excel in a dynamic, high-responsibility environment.Who We AreAt Meshy, we envision a world where 3D creation is limitless and accessible to all. Our mission is clear: unleash creativity. We have developed a comprehensive pipeline for 3D content that spans text/image to 3D, texturing, texture editing, animation rigging, and beyond. Additionally, we foster a vibrant community for creators to share their work, draw inspiration from others, and utilize our platform as an asset marketplace for their games and prototypes. Recognized as the No.1 in popularity among 3D AI tools (according to the 2024 A16Z Games survey), Meshy delivers real value to enterprises such as Meta, Square Enix, and DeepMind, as well as millions of end-users. Our technology powers game and film production, 3D printing, industrial product design, user-generated content features, and even training simulations for robotics and physical AI.Your Next Challenge3D is the exciting new frontier of Generative AI, and your role at Meshy will present unique challenges in both training and inference. You will engage with the full stack of AI, from debugging and monitoring hardware platforms, building training frameworks, scaling high-throughput 3D data pipelines, collaborating with researchers on novel model architectures, to developing efficient inference engines for diffusion models and more. Here are some specific challenges on the training side:Collaborate closely with researchers to co-design the next frontier of 3D & Spatial AI.Develop and refine modern PyTorch solutions for maximum parallelism and efficiency, establishing a clean and intuitive training infrastructure for our foundational models.Identify bottlenecks and optimize for high throughput & efficient distributed model training across hundreds to thousands of GPUs.Implement and maintain 3D-specific custom operators in Triton or CUDA.Design and uphold novel data-loading frameworks and libraries.

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.

Join DoorDash's mission to revolutionize the way consumers connect with millions of merchants through our cutting-edge search platform. Our team is dedicated to building a robust, scalable, and high-performance system that enables seamless search indexing, retrieval, and ranking of billions of items. As part of the Core Consumer organization, you will play a pivotal role in enhancing the search experience across iOS, Android, and Web platforms. Collaborate with a team of talented engineers to explore innovative solutions in machine learning and improve search relevance, helping customers easily find what they want as we expand into new verticals like Grocery.

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 focused on developing, understanding, utilizing, and managing foundation models. Our mission is to propel research, cultivate the next generation of AI innovators, and create transformative impacts within a knowledge-driven economy.Join our dynamic team and seize the opportunity to engage in groundbreaking foundation model training, collaborating with elite researchers, data scientists, and engineers to address the most pressing challenges in AI development. You will contribute to the creation of innovative AI solutions with the potential to revolutionize industries. Your strategic and creative problem-solving abilities will play a crucial role in establishing MBZUAI as a global center for high-performance computing in deep learning, fostering discoveries that will motivate future AI trailblazers.The RoleAs a Machine Learning Engineer at the Institute of Foundation Models, your main duty will be to design and implement cutting-edge machine learning models that tackle real-world issues, pushing the limits of artificial intelligence research. You will work collaboratively with diverse teams to deploy scalable solutions, furthering MBZUAI’s goal of driving significant AI advancements and solidifying the institution’s status as a leader in the international AI research community. Your expertise will be vital in enhancing the performance of large-scale machine learning models and aiding in the development of transformative AI tools that can reshape industries globally.

Join our team at DoorDash as a Principal Machine Learning Engineer specializing in Ads and Promotions Delivery. In this pivotal role, you will leverage cutting-edge machine learning techniques to optimize our advertising strategies and enhance customer engagement. Collaborate with cross-functional teams to design and implement scalable machine learning models that drive business growth.

42dot is seeking a Senior Machine Learning Platform Engineer to support its work in autonomous driving technology. This position is based in Sunnyvale, United States. Role overview This role focuses on developing machine learning platforms that support autonomous vehicle systems. The work involves designing and building scalable infrastructure to handle complex ML workloads, with a strong emphasis on performance and reliability. What you will do Lead the creation and enhancement of machine learning solutions for autonomous driving applications. Design, implement, and maintain ML platforms to ensure they meet high standards for scalability and reliability. Requirements Extensive experience in building and maintaining machine learning platforms. Background in supporting ML solutions for autonomous vehicle technology or similar fields. Strong skills in designing scalable and high-performance systems.

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 the Internship Bosch Group is seeking an Automated Driving Machine Learning Intern in Sunnyvale, California. This role offers hands-on experience with real projects in automated driving and machine learning. Interns will apply academic skills to practical challenges in the field.

Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip while maintaining the programming simplicity of a single device. This unique approach enables Cerebras to provide unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly run large-scale ML applications without the complexities of managing numerous GPUs or TPUs. Cerebras proudly serves a diverse clientele, including leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI has recently formed a multi-year partnership with Cerebras to harness 750 megawatts of scale, revolutionizing key workloads with ultra high-speed inference. Our groundbreaking wafer-scale architecture ensures that Cerebras Inference stands as the world's fastest solution for Generative AI inference, achieving speeds over ten times faster than GPU-based hyperscale cloud inference services. This remarkable increase in speed is transforming the user experience of AI applications, enabling real-time iterations and enhancing intelligence through additional agentic computation.About The RoleCerebras is expanding its Machine Learning team to spearhead a new initiative that aligns with our existing teams. We are seeking a Principal Investigator to collaborate with our ML leaders in shaping this new effort while building the team and enhancing our capabilities. This new team will work in concert with our current ML divisions: Field ML, which directly engages with customers, Applied ML, which develops new ML capabilities and applications, and Core ML, which adapts ML algorithms to leverage the unique features of Cerebras hardware. The new team may undertake similar or complementary responsibilities.The new team will focus on areas such as:Post-training and reinforcement learning: Enhancing model deployment quality through advanced training, tuning, and reinforcement learning techniques, concentrating on specific downstream tasks;Dataset curation and optimization: Implementing strategies to gather and select high-quality data, facilitating quicker and higher-quality model training and tuning;LLM Pretraining: Engaging in...

Wayve Technologies is searching for a Tech Lead, Machine Learning Engineer to join the autonomous vehicle product engineering group in Sunnyvale. This leadership role centers on guiding a team that develops sophisticated machine learning models for future mobility technologies. Role overview The Tech Lead will direct the design and deployment of machine learning algorithms tailored for autonomous vehicle systems. The position also includes mentoring junior engineers and collaborating with colleagues across multiple disciplines to ensure projects are delivered on time and meet quality standards. What you will do Lead the creation and implementation of machine learning solutions for autonomous vehicles Support and mentor junior engineers to strengthen their technical skills and project impact Coordinate with cross-functional teams to achieve project goals efficiently and with high quality Requirements Strong background in machine learning and artificial intelligence Proven experience leading or mentoring engineering teams Genuine interest in the intersection of AI and autonomous vehicle technology

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.

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.

We are seeking a dynamic and experienced Manager for our AI and Machine Learning team at LinkedIn. In this role, you will lead a talented group of engineers and data scientists dedicated to developing cutting-edge solutions that enhance user experience and drive engagement across the platform. Your leadership will be crucial in shaping the direction of our AI initiatives, ensuring they align with our mission to connect the world's professionals.The ideal candidate will possess a strong background in machine learning algorithms, data analysis, and software development, as well as exceptional communication skills to effectively collaborate with cross-functional teams. If you are passionate about leveraging AI to create impactful solutions, we want to hear from you!

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.

Join CoreWeave as a Senior Engineer on our Benchmarking & Performance team, where you will play a vital role in our expansive performance data warehouse. You will be responsible for ingesting, storing, transforming, and analyzing performance events across our global infrastructure. Your work will contribute to publishing industry-leading end-to-end performance benchmarks like MLPerf. As an owner of your projects, you will drive designs, elevate engineering standards, and deliver tangible enhancements in latency, throughput, and reliability across numerous services. Collaborating with product, orchestration, and hardware teams, you will help evolve our Kubernetes-native platform to meet stringent P99 SLAs at scale.

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 powerhouse is dedicated to developing the digital infrastructure essential for infusing intelligence into every moving machine worldwide. Our solutions empower industries including automotive, defense, trucking, construction, mining, and agriculture across three key 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 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.As an in-office company, we expect our employees to work from the Applied Intuition office five days a week. However, we understand the importance of 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 earlier for family commitments.About the RoleAt Applied Intuition, we are pioneering advancements in autonomy and vehicle intelligence through cutting-edge AI research. In this exciting position, you will contribute to this initiative by developing machine learning tools, managing extensive datasets, and tackling challenges across the complete end-to-end (E2E) autonomy stack. Collaborate with our research and production teams to create the future of self-driving vehicles. We encourage our engineers to take ownership of technical and product decisions, actively engage with both internal and external users for feedback, and foster a collaborative, innovative team culture.Your Responsibilities Will Include:Developing tools and infrastructure to support large-scale E2E autonomy research led by Dr. Wei Zhan.Collaborating directly with AI research and development teams.

Join us at Meshy as a Machine Learning Systems Intern, where your passion for AI, graphics, and innovative product development will thrive in a collaborative environment.What We're Looking For:Commit to a full-time internship for a minimum of 12 weeks.Aiming to transition to a full-time role at Meshy post-graduation (ideal candidates graduating between September 2026 and September 2027 are preferred).Open to candidates pursuing undergraduate, master's, or PhD degrees.A solid foundation in technical skills, coupled with a drive for innovation and a willingness to tackle challenges.Your RoleAs a key contributor to our team, you will assist in developing the most extensive end-to-end 3D native machine learning systems. This role encompasses the entire ML framework, from pretraining to fine-tuning and inference. We seek individuals with robust hands-on engineering capabilities, a thirst for knowledge, and the ability to excel in a dynamic, ownership-driven setting.About UsAt Meshy, we envision a world where 3D creation knows no limits. Our mission is to unleash creativity by offering a comprehensive 3D content pipeline, which includes transforming text and images into 3D models, texturing, editing, and animation rigging. We have cultivated a thriving community for creators, providing a platform to share work, draw inspiration, and utilize assets across projects. Recognized as the leader in 3D generative AI (top-ranked in the 2024 A16Z Games survey), our technology is embraced by industry giants like Meta, Square Enix, and Deepmind, impacting sectors like gaming, film, 3D printing, and robotics.Your Next Challenge3D is at the forefront of Generative AI, presenting unique challenges in training and inference. Your journey with Meshy will involve a full stack of AI responsibilities, including debugging and monitoring hardware platforms, creating training frameworks, scaling high-throughput 3D data pipelines, and collaborating on innovative model architectures with our research team.

Join Crusoe Energy as a Senior Backend Tooling Software Engineer and play a pivotal role in enhancing our backend systems that support our innovative energy solutions. You will be responsible for designing, implementing, and maintaining scalable backend tooling solutions that cater to our growing infrastructure needs.Your expertise will help us streamline our operations, optimize workflows, and improve performance across our engineering teams. If you are passionate about backend engineering and enjoy tackling complex challenges, we invite you to apply and contribute to our mission of transforming energy use.