"large scale distributed model training" Jobs
240 open tech roles matching “large scale distributed model training”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 240 results
Join Verse as a Senior Optimization Engineer to lead the development of optimization models for the AI economy.
Lead operations at Instawork Robotics Labs, building and scaling large, distributed operations in a fast-paced environment.
Design and operate backend systems for Claude's safety systems, ensuring low latency and high reliability.
Own the multi-cloud strategy for safeguards and fraud defenses at Anthropic, ensuring AI safety across major cloud platforms.
Lead complex infrastructure projects as a Staff+ Software Engineer at Anthropic, focusing on distributed systems and AI model support.
Join Datadog as a Distinguished Architect to lead AI initiatives and bridge infrastructure with cutting-edge observability solutions.
Lead a team to build Anthropic's scheduling platform and improve fleet efficiency in a fast-paced AI environment.
Join Together AI as an AI Infrastructure Engineer to ensure smooth operation of user-facing services and production systems.
Join Xaira Therapeutics as an AI Scientist to innovate in computational protein design using advanced deep learning methods.
Join Databricks as a Staff Designated Support Engineer to provide specialized support for major customers using advanced data technologies.
Join Databricks as a Senior Designated Support Engineer to provide specialized support for strategic customers in the Digital Native Business segment.
Join Anthropic as an Operating Systems Security Engineer to enhance OS security for AI workloads in a collaborative environment.
Lead the Solutions Architecture team to scale AI deployments across major cloud platforms and complex accounts.
Join CoreWeave as a Senior Specialist Field Engineer to lead GPU cluster delivery and ensure high-performance AI workloads for customers.
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