"distributed training" Jobs
268 open tech roles matching “distributed training”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 268 results
Join Databricks as a Senior Software Engineer to build infrastructure for AI applications and improve distributed AI workloads.
Join Anthropic as a Staff Software Engineer to design APIs and frameworks for reinforcement learning environments in a collaborative AI research team.
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a dynamic startup environment.
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a fast-paced environment.
Join Cockroach Labs as a backend engineer to enhance disaster recovery features for CockroachDB, a leading cloud-native SQL database.
Lead the Coordination Systems - Storage team at Datadog, focusing on essential configuration storage and distribution systems.
Lead a team of Delivery Solutions Architects to help innovative customers accelerate their journey on the Databricks Platform.
Join Ramp as a Software Engineer to lead AI solutions and directly impact how companies manage billions in spend.
Join Anthropic as a Staff Software Engineer to drive reinforcement learning efforts and design systems for coding capabilities.
Lead complex infrastructure projects as a Staff+ Software Engineer at Anthropic, focusing on distributed systems and AI model support.
Join Datadog as a Senior Software Engineer to enhance a petabyte-scale distributed storage system for the AI era.
Lead a team of engineers to enhance serverless APM capabilities at Datadog, focusing on cross-cloud instrumentation.
Join Anthropic as a Staff Engineer to lead the technical direction of the Inference Runtime for AI systems serving millions of users.
Join Anthropic as a Staff+ Software Engineer to build production systems for capacity engineering in a hybrid work environment.
Lead a team of engineers to optimize Anthropic's inference infrastructure for AI systems.