"deep learning" Jobs
2427 open tech roles matching “deep learning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, TypeScript. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2427 results
Join Perplexity AI as a Senior Applied AI Engineer to shape agent capabilities and enhance user experiences with cutting-edge AI technologies.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.
Lead product development for AI data systems at Snorkel AI, focusing on quality and efficiency in data operations.
Join Cognition as a Network Engineer to design and operate high-performance networks in a fast-paced AI startup environment.
Lead a team of Account Executives to drive revenue across Fortune 500 accounts in a high-ownership environment.
Join Anthropic as a Research Engineer to enhance AI's coding capabilities through reinforcement learning in a collaborative environment.
Lead the application layer at Twelve Labs, building AI-native products that transform user experiences in video technology.
Lead product strategy for foundational models and post-training at a growing healthcare AI startup in San Francisco.
Lead the applied AI initiatives at Omnifold to eliminate waste and enhance growth for companies with physical products.
Join fal as a Senior Software Engineer to build and deploy seamless user experiences in a generative media ecosystem.
Drive technical strategy and lead complex customer engagements as a Sr. Solutions Architect at Databricks.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Join Cartesia as a Technical Sourcer to identify and engage world-class technical talent in a pioneering AI company.
Lead a team of ML engineers to develop models for chemistry and process engineering at Mariana Minerals.
Join Together AI as a Data Analytics Engineer to build and maintain data infrastructure for GTM, finance, and product teams.