Lead AI/ML Engineer, Algorithms & Research

Job Description

• Design and develop retrieval augmentation methods for structured, unstructured, and relational databases • Develop and utilize knowledge graphs for information retrieval. Orchestrate information retrieval using knowledge graphs in the loop • Investigate model explainability and work with trust and safety teams to enhance reliability and reduce hallucination in Gen-AI models • Collaborate cross-functionally with machine learning engineers to take models from research to production • Stay current with the latest advancements in Gen-AI and integrate relevant innovations into our systems • Mentor junior engineers, conduct code reviews, and enforce engineering best practices. Deliver high-quality solutions that improve overall efficiency

Qualifications

• Proven experience in designing and developing information retrieval or RAG systems • Expertise in vector and graph databases • Expertise in Graph Neural Networks (GNNs) and related concepts • Familiarity with knowledge graphs and ontology engineering • Familiarity with search and recommendations in two-sided marketplaces • Passion for developing autonomous agentic systems using LLMs • Strong publication record in top-tier conferences like NeurIPS, CVPR, ICML, ICLR, etc.

Benefits

• Comprehensive medical insurance coverage for both you and your family • Unlimited paid time off • 401(k) plan with matching contributions • 12 weeks of paid parental leave • Employee Stock Purchase Plan