"real world data" Jobs
1781 open tech roles matching “real world data”, 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 1781 results
Join Judgment Labs as an Applied AI Engineer to build self-improving AI systems using real-world agent interaction data.
Join Preference Model as a Research Engineer to advance self-directed learning in large language models within a fast-paced startup.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.
Join Handshake as a Strategic Projects Associate to support high-impact initiatives in a fast-paced AI-driven environment.
Join Meter as a Backend Engineer to build scalable data center solutions using Go and Python in a growth-focused environment.
Own the Generation half of Document Intelligence, transforming multimodal inputs into structured maintenance knowledge.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Join Pinterest as a Sr. Data Scientist to enhance infrastructure measurement and optimization in a dynamic environment.
Join Rox as a Core Engineer to design and operate foundational infrastructure for autonomous revenue agents in a fast-growing AI company.
Join Figma as a Data Platform Engineer to shape the future of AI-driven products and data experiences.
Join Faire as a Senior Applied AI/ML Scientist to drive retailer growth through innovative machine learning solutions.
Join TRM Labs as a Global Investigator to conduct complex blockchain investigations and support national security efforts.
Lead the development of machine learning solutions to empower local retailers in a two-sided marketplace.
Lead data collection efforts for robotics and AI at Instawork, driving user experience and cross-functional collaboration.
Join Databricks as a Staff Software Engineer to lead impactful projects in building scalable data and AI infrastructure.