Senior Applied Scientist, Search – Information Retrieval

Posted Jul 22

This is a fully remote position, open to applicants in United States, +2 more locations.

πŸ“‹ Description

β€’ Create, construct, and implement comprehensive neural search systems from start to finish

β€’ Design models aimed at understanding queries, re-ranking documents, and enhancing retrieval quality

β€’ Establish evaluation frameworks utilizing expert annotations

β€’ Make independent technical choices regarding retrieval architecture and ranking models

β€’ Collaborate with engineering teams to ensure delivery, reliability, and scalability across various product lines

β€’ Contribute to research published in prestigious venues


⛳️ Requirements

β€’ PhD or Master's degree in Computer Science, AI, NLP, or a related discipline

β€’ Over 5 years of relevant industry experience post-degree in deploying search, retrieval, or RAG systems into production

β€’ Published works in conferences such as SIGIR, ECIR, NeurIPS, ACL, EMNLP, ICLR, or similar

β€’ Proficiency in production Python and familiarity with frameworks like PyTorch, DeepSpeed, Torchtune, or LlamaFactory

β€’ Extensive hands-on experience in the fundamentals of Neural IR: BM25, hybrid search, dense retrieval (DPR, ColBERT), bi-encoders, cross-encoders, and late interaction models

β€’ Expertise in the design of search and RAG systems, including vector databases, retrieval strategies, document chunking, metadata filtering, re-ranking, context optimization, and orchestration

β€’ Skills in designing evaluation frameworks for assessing retrieval quality

β€’ Strong foundation in deep learning and NLP principles


🏝️ Benefits

β€’ Flexible work policies to promote work-life balance

β€’ Opportunity to work remotely for up to 8 weeks each year

β€’ Opportunities for career advancement and ongoing learning programs

β€’ Comprehensive benefits package including flexible vacation options

β€’ Two company-wide Mental Health Days off

β€’ Access to the Headspace app for mental wellness

β€’ Retirement savings plan available

β€’ Tuition reimbursement offered

β€’ Employee incentive programs to reward performance

β€’ Resources provided for mental, physical, and financial wellbeing

β€’ Optional hospital, accident, and sickness insurance

β€’ Optional life and AD&D insurance coverage

β€’ Flexible Spending and Health Savings Accounts available

β€’ Fitness reimbursement program

β€’ Access to Employee Assistance Program for additional support

β€’ Group Legal Identity Theft Protection offered

β€’ Access to 529 Plan for educational savings

β€’ Commuter benefits provided

β€’ Assistance for adoption and surrogacy

β€’ Employee Stock Purchase Plan available

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