"deep learning" Jobs
1053 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, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1053 results
Lead the ML-first behavior prediction and planning team at Applied Intuition, driving technical leadership and system architecture.
Lead a team in Applied AI at Datadog, focusing on developing cost-efficient AI models and enhancing AI security capabilities.
Lead a high-impact team of Machine Learning Engineers to build recommendation systems for Reddit's Feed Ecosystems.
Lead Goodfire's model training organization to develop interpretable AI systems with a world-class team.
Lead a team to build and optimize machine learning infrastructure for drug discovery at Recursion Pharmaceuticals.
Lead a high-performing machine learning team in India, driving impactful ML initiatives for a fast-growing fintech company.
Lead Everlaw's enterprise AI transformation efforts, driving adoption and governance across the organization.
Join Protege as a founding Forward Deployed Engineer to shape the technical foundation of a new vertical in AI.
Lead the development of high-throughput assays in a collaborative lab focused on AI-designed drugs.
Lead the organic growth strategy at Fivetran, focusing on AEO/SEO across various platforms to drive measurable growth.
Lead the architecture direction for multimodal transformers at Kodiak Robotics, focusing on AI-powered autonomous technology.
Lead the development of AI-powered features for an end-to-end intelligence platform in public safety.
Lead a team in developing advanced algorithms for multi-agent systems in a mission-driven environment.
Lead the design and development of science curriculum at a mission-driven startup reimagining higher education for the AI era.
Lead the perception model team for autonomous vehicles at a rapidly growing AI infrastructure company.
Lead the Compute Platform team at Reflection AI, focusing on multi-cloud scheduling and GPU deployments while mentoring a team of systems engineers.