"distributed training" Jobs
499 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 499 results
Lead the Runtime Fabric team at Baseten to build container runtimes tailored for AI inference workloads.
Join Anthropic as a Staff Software Engineer to design and optimize backend services for cloud inference at scale.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.
Join Anthropic as a Performance Engineer to optimize AI inference systems for throughput, latency, reliability, and correctness.
Lead the development of next-generation multimodal models at Twelve Labs, impacting thousands of customers worldwide.
Lead a team of engineers to build infrastructure for training and evaluating ML models in a flat, innovative organization.
Join Redpanda as a Staff Software Engineer to design and build systems for the Agentic Data Plane in a hybrid role based in San Francisco.
Join Together AI as a Research Intern to work on cutting-edge distributed inference and optimization for large foundation models.
Join Together AI as a Software Engineer Intern to work on scalable systems and user-focused solutions in San Francisco.
Lead the Learning initiative for Databricks' Self-Serve team, driving product-led growth and scaling engineering efforts.
Join Genmo as a Research Scientist to lead initiatives in alignment and post-training for large-scale video generation models.
Work with federal government customers to build and productionize data and AI solutions using the Databricks platform.
Join Anthropic as a Staff Software Engineer to build scalable ML infrastructure for AI safety systems.
Build and scale onboarding and training programs for TRM's Global Investigations Team to enhance their capabilities and customer engagement.
Join Databricks as a Delivery Solutions Architect to drive customer success and maximize the value of the Databricks Platform.