Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Building and optimizing next-generation Grounding Service for AI applications like chat assistants and copilots, with an accent on inventing retrieval and attribution methods, and defining factuality/faithfulness metrics. Focus on designing state-of-the-art retrieval and RAG orchestration, building citation systems, and advancing tool-augmented grounding.

Location: Beijing, China. Employees who live within a 25-mile commute of a designated Microsoft office are expected to work from the office at least four days per week.

Company

hirify.global is building the next-generation Grounding Service that powers the latest AI applications with factual, cited, and trustworthy responses.

What you will do

• Own the science roadmap for grounding, including retrieval, re-ranking, attribution, and reasoning.
• Design and evolve state-of-the-art retrieval and RAG orchestration across various data types (documents, tables, code, images).
• Build citation and provenance systems to reduce hallucinations and increase user trust.
• Advance tool-augmented grounding through schema-aware retrieval, function calling, and real-time connectors to databases and search indexes.
• Partner with platform engineering to productionize models with scalable inference, embedding services, and privacy-compliant multi-tenant systems.
• Mentor applied and data scientists, establish best practices, and collaborate cross-functionally with PMs, research, infrastructure, and security teams.

Requirements

• Bachelor’s Degree in Statistics, Computer Science, or related field with 4+ years of experience, OR Master’s with 3+ years, OR Doctorate with 1+ year.
• Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems.
• Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments.
• Solid coding skills and a strong foundation in machine learning, with the ability to implement and optimize models effectively.
• Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings.

Nice to have

• Master’s Degree with 6+ years or Doctorate with 3+ years experience.
• Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals.
• Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL).
• Proven track record in optimizing LLM inference or active contributions to open-source frameworks like vLLM, SGLang.

Culture & Benefits

• Team values curiosity, pragmatic rigor, and inclusive collaboration.
• Employees are encouraged to innovate and collaborate to achieve shared goals.
• Culture of inclusion built on values of respect, integrity, and accountability.
• Opportunity to influence strategic decisions and drive business impact through technology.
• Contribute to ethics and privacy policies and identify bias in product development.