"inference" Jobs
1255 open tech roles matching “inference”, 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 1255 results
Join a team of research scientists at Chai Discovery to drive innovative AI solutions in drug discovery.
Join Anthropic as a Tech Lead to build reliable AI evaluation systems in a hybrid work environment.
Lead the Production Inference team at DeepL, focusing on performance-critical model serving systems in a fast-paced AI environment.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.
Join Baseten as a Product Marketing Manager to engage developer audiences and drive go-to-market strategies for AI products.
Join Baseten as a Product Marketing Manager to engage developer audiences and drive go-to-market strategies for AI products.
Join Inworld AI as a Staff/Principal Research Scientist to innovate in real-time voice models and impact AI applications globally.
Join Patreon as a Senior Machine Learning Engineer to architect and maintain high-throughput ML infrastructure for creator discovery.
Join Baseten as a Software Engineer to drive model performance systems at the intersection of HPC and LLM engineering.
Join Cantina as a Research Intern to work on next-gen video models in a hands-on, mentorship-driven environment.
Own the Graph Platform at Enterpret, leading data systems and architecture decisions for a customer feedback intelligence platform.
Join Baseten as an AI Engineer to build AI-driven product features and enhance internal workflows.
Join Cloudflare as a Senior Systems Engineer to build core AI Gateway systems for high-volume inference traffic.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Join Anthropic as a Staff Software Engineer to build scalable ML infrastructure for AI safety systems.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.