"large scale distributed model training" Jobs
113 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, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 113 results
Join Attentive's ML Platform team as a Senior Software Engineer to enhance AI and ML product delivery.
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.
Join Databricks as a Senior Software Engineer to build enterprise capabilities for CustomerLake's customer-data applications.
Join Anthropic as a Staff Software Engineer to design APIs and frameworks for reinforcement learning environments in a collaborative AI research team.
Join Anthropic as a Staff+ Software Engineer to design and build systems for cloud portability in AI infrastructure.
Join Anthropic as a Staff Software Engineer to drive reinforcement learning efforts and design systems for coding capabilities.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Lead program management for Anthropic's infrastructure, overseeing critical programs and building a high-performing TPM team.
Join Anthropic as a Staff+ Software Engineer to build and scale the database infrastructure for AI systems.
Join Allium as a Product Marketing Manager to shape the narrative for a growing enterprise-grade data layer in onchain finance.
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.
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