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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Software Engineer, Machine Learning Infrastructure - Generative AI”. A match may be a passing mention rather than the job itself. Titles only.
153 roles across 171 listings · show every listing · page 1 of 7
About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo…
…Job Description The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM…
…distributed engineering teams, including teams based in the US NICE TO HAVE - Experience building AI-powered products, LLM infrastructure, or machine learning platforms - Experience…
…Forward Deployed Engineering team, building production software that helps frontier AI labs solve real-world problems. You'll partner with senior engineers to develop…
…Why Text Safety? As a Senior Engineer you will play a key role in advancing large-scale AI systems that strengthen text safety and…
…software engineering teams building the next generation of intelligent manufacturing systems. This organization develops the software platforms, agentic workflows, data infrastructure, and AI-powered…
…of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals using…
…10+ years of experience in software or infrastructure engineering building and operating production services. 5+ years of engineering leadership experience, including directly managing other…
…Security Engineers, TPMs, and SDEs. We are science-led, independent advisors — and we're building the next generation of AI governance infrastructure from the…
…Our team focuses on GPU-accelerated platforms — the infrastructure that runs generative AI, machine learning training, and large language models at global scale. It…
…and engineering teams. Ways to stand out from the crowd: Understanding of modern techniques in Machine Learning, Deep Neural Networks, and Generative AI, with…
…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…
…intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at…
The Compute Control Plane team in Oracle's Oracle Cloud Infrastructure (OCI) organization is seeking a Senior Core Infrastructure Software Manager to join our…
…IDEAL REQUIREMENTS & QUALIFICATIONS: - Have 7+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks…
…We’re looking for a deeply technical software engineer to join the Autonomy Validation team — a core team responsible for building the infrastructure, tools…
…launching software products. Experience with machine learning infrastructure, C++, performance, GPU programming, mobile GPU. Preferred qualifications: Master’s degree or PhD in Engineering, Computer…
…NICE TO HAVES - Fraud ML or risk engine experience: Familiarity with machine learning-based fraud detection or risk scoring systems. - Event-driven systems: Demonstrated…
…for building teams and developing engineering talent. NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience working with multiple…
…building large-scale machine learning and AI solutions at Internet scale experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent…
…across engineering teams and management. Ways to stand out from the crowd: Understanding of modern machine learning, deep neural network, and generative AI techniques…
…Data integration and application integration. • Artificial intelligence and machine learning. • AI Vector Search and generative AI use cases. • Application development and modernization. • Multicloud and…
…Generative AI, Machine Learning domain. • 2+ years of hands-on experience designing SDKs or client-side frameworks, with a deep interest in performance engineering…
…software development lifecycle, system integration and monitoring, data protection, identity and access management) Experience assessing emerging AI risks (e.g. generative AI, ML models…