"retrieval" Jobs
364 open tech roles matching “retrieval”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Go. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 364 results
Join Perplexity AI as a Machine Learning Engineer to advance search technologies focused on retrieval and ranking.
Join DEFCON AI as an ML Engineer to build scalable retrieval systems and integrate language models in a fully remote environment.
Join Asana as a Senior Software Engineer to enhance AI retrieval systems and improve search capabilities in a hybrid work environment.
Design and build MaintainX’s end-to-end search and retrieval platform as a Senior Software Developer.
Design and build MaintainX’s end-to-end search and retrieval platform as a Senior Software Developer.
Join Perplexity as a Machine Learning Engineer to enhance search quality through innovative ranking solutions.
Join Airbnb as a Senior Machine Learning Engineer focusing on query intelligence to enhance search and recommendation systems.
Join Perplexity AI as a Machine Learning Engineer to enhance search quality through innovative ranking solutions.
Join Perplexity AI as a Senior Systems Engineer to design and build core components for next-generation search technologies.
Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.
Join DEFCON AI as a Senior Entity Resolution Engineer to build and refine entity-level record matching for government mission needs.
Drive technical direction for training infrastructure and operations within Pegasus at a growing AI company focused on video understanding.
Join Algolia as a Senior Software Engineer to enhance AI search capabilities with a focus on ranking and understanding features.
Join Perplexity as a Senior Systems Engineer to build core components for next-generation search technologies.
Design and improve the storage platform for Perplexity's products and AI workloads, ensuring reliability and performance.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.