"ml hardware accelerators" Jobs
159 open tech roles matching “ml hardware accelerators”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, PyTorch. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 159 results
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.
Lead engagement marketing for Cash App, focusing on activation and habituation through innovative experimentation and AI-driven strategies.
Lead a global team in delivering AI infrastructure solutions while driving customer engagement and value articulation.
Join CoreWeave as a Senior Engineer to enhance Kubernetes-native benchmarking services and improve performance across a global infrastructure.
Lead the people function at Periodic Labs, shaping the culture and systems for a rapidly growing AI-driven scientific organization.
Join Block as a Senior ML/AI Modeler to enhance risk automation using generative AI in a fully remote role.
Join KoBold Metals as a Staff Applied Scientist to develop innovative data collection instruments for mineral exploration.
Lead a team of engineers to optimize Anthropic's inference infrastructure for AI systems.
Lead the Capacity Engineering team at Anthropic, ensuring efficient allocation and utilization of infrastructure resources.
Lead the development of foundational data infrastructure at Cloudflare, leveraging AI to enhance data accessibility and value.
Join Skydio as an Autonomy Engineer to build and scale deep learning infrastructure for intelligent aerial robots.
Join Skydio as an Autonomy Engineer to build and scale deep learning infrastructure for intelligent aerial robots.
Join Roboflow as a Machine Learning Engineer to enhance our inference engine and contribute to impactful computer vision projects.
Join Freenome as a Senior Machine Learning Engineer to develop and optimize deep learning pipelines for cancer detection.
Join insitro as a Senior Machine Learning Scientist to develop ML-driven computer vision pipelines for drug development.
Design and implement deep learning solutions for real-time object detection and tracking on Skydio drones.