"large scale distributed model training" Jobs
45 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, PyTorch. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 45 results
Serve as a trusted technical ML and AI expert, guiding customers in architecting production-grade applications on the Databricks platform.
Lead the Production Inference team at DeepL, focusing on performance-critical model serving systems in a fast-paced AI environment.
Join DeepL as a Senior Data Platform Engineer to build and evolve the data platform infrastructure in a fast-moving, purpose-driven environment.
Lead complex infrastructure projects as a Staff Software Engineer at Anthropic, focusing on distributed systems for AI models.
Lead energy procurement and strategy for AI infrastructure across multiple European jurisdictions.
Join hyperexponential as a Staff Product Engineer to shape technical direction in an AI-powered platform for the insurance industry.
Join DeepL as a Senior Software Engineer to build innovative real-time voice translation solutions in a dynamic, cross-functional team.
Lead a senior engineering team to develop DeepL's real-time AI voice products in a hands-on leadership role.
Join Anthropic as a Staff+ Software Engineer to build reliable connectivity infrastructure for AI systems.
Lead design across Explore, Live, and Map teams at Strava, shaping the user experience for millions of athletes.
Lead the establishment and growth of Perplexity's London office, shaping its engineering culture and technical direction.
Lead the delivery of third-party sales channels across international markets, focusing on scaling and launching new channels.
Lead the establishment and growth of Perplexity's London office, shaping its engineering culture and technical direction.
Lead a team of Professional Services Engineers to ensure successful customer engagement and retention at Fastly.
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