SOFTWARE ENGINEER, MACHINE LEARNING INFRASTRUCTURE - GENERATIVE AI ABOUT THE TEAM Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared…

…Our Apple Services Engineering team is hiring for an exciting new role as a Senior Software Engineer in Machine learning. We are seeking a…

…This is an infrastructure-heavy role for an engineer who enjoys building scalable platforms at the intersection of software engineering, machine learning, and generative…

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo…

…Act as the crucial bridge between raw Tensor Processing Unit (TPU) silicon and production-ready machine learning, owning the software integration and operational ecosystem…

…and Machine Learning) for optical and motion technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development…

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team…

…engineering and organizational issues in business and operational terms Demonstrated ability to influence and collaborate across large organizations spanning software, machine learning, manufacturing engineering…

…As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines…

…of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals using…

…in production environments Collaborate closely with robotics researchers, ML engineers, software architects, and infrastructure teams to gather information, understand complex technical concepts, and accurately…

…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…

…As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your…

…10+ years of experience in software or infrastructure engineering building and operating production services. 5+ years of engineering leadership experience, including directly managing other…

…We are looking for a Software Development Engineer who wants to work at the frontier of AI governance — building the platform that gives Amazon…

…Our team focuses on GPU-accelerated platforms — the infrastructure that runs generative AI, machine learning training, and large language models at global scale. It…

We are seeking a Software Development Engineer to develop cutting-edge machine learning algorithms for robots that operate in human environments and build infrastructure…

…various software and services for different domains like infrastructure software, machine learning, and IoT. We are looking for an experienced Software Development Engineers to…

…and infrastructure that turn engineering concepts into testable hardware. We are looking for an experienced machinist to establish and lead our development machine shop…

…collaboration with management and engineering teams. Ways to stand out from the crowd: Understanding of modern techniques in Machine Learning, Deep Neural Networks, and…

…and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer…

…ML engineering, AI platforms, model infrastructure, cloud platforms, solution architecture, or startup technical engagement. Strong understanding of generative AI, deep learning, machine learning, model…

NVIDIA is enabling the next generation of physical AI through accelerated computing, AI software, simulation, robotics platforms, and cloud-to-edge infrastructure. This role…

…controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness…

…software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile…