"graph based retrieval systems" Jobs
27 open tech roles matching “graph based retrieval systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, Machine Learning. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 27 results
Join Databricks as an AI Engineer to build AI-powered analytics agents and workflows for the go-to-market organization.
Join Pinterest as a Staff Machine Learning Engineer to develop state-of-the-art visual AI models in a collaborative environment.
Join Rox as a Core Engineer to design and operate foundational infrastructure for autonomous revenue agents in a fast-growing AI company.
Join Distyl AI as an Applied AI Researcher to redefine software usage and explore new AI system architectures.
Join Hilbert as an AI Engineer to build production-grade AI systems that drive enterprise outcomes in a fast-paced startup environment.
Join Distyl AI as an Applied AI Researcher to redefine enterprise AI systems with a focus on innovative architectures and robust solutions.
Lead the technical vision and ML algorithm strategy for the Search Group at Faire, enhancing personalized shopping experiences.
Own the product strategy and execution for the Agentic Platform at Databricks, enabling rapid development of AI applications.
Build production AI agent systems for one of the world's largest GPU fleets at Together AI.
Join Xaira Therapeutics as a Biomedical AI Engineer to design AI systems that accelerate therapeutic discovery.
Join Cogent Security as a Staff Software Engineer to build foundational data platforms for enterprise AI-driven cybersecurity solutions.
Join Distyl AI as a senior researcher to innovate self-improving AI systems in a hybrid work environment.
Join Discord as a Senior Software Engineer to develop machine learning models that enhance ad relevance and drive revenue.
Design and build across the Otto platform as a Staff Software Engineer, focusing on AI-driven solutions for small businesses.
Lead the Context team at Profound, focusing on technical leadership and people management in a fast-paced AI-driven environment.
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