Principal Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Applied Scientist (AI): Developing core agentic systems for M365 Copilot with an accent on reasoning, memory management, and agent orchestration at enterprise scale. Focus on translating state-of-the-art research into production-ready features, defining scientific quality bars, and driving technical excellence within the AI team.
Location: Must be based in Beijing, China
Company
A global technology leader empowering every person and every organization on the planet to achieve more through innovative AI and productivity software.
What you will do
- Design and ship advanced agentic AI techniques, including planning, reasoning, memory, and LLM post-training.
- Translate cutting-edge research into scalable, reliable, and measurable production solutions.
- Define quality bars and evaluation strategies for agent behavior, reasoning, and safety.
- Diagnose system failure modes and drive systematic, data-driven improvements.
- Provide technical leadership, mentor team members, and influence overall system architecture.
Requirements
- Bachelor’s degree and 6+ years of experience, Master’s and 4+ years, or Doctorate and 3+ years in a relevant technical field.
- Strong algorithmic and modeling skills with proven problem-solving capabilities.
- Demonstrated expertise in multi-turn agent orchestration and LLM lifecycle.
- Excellent communication skills for cross-functional collaboration.
- Must be able to work on-site in Beijing, China.
Nice to have
- Academic background or research focus in reinforcement learning (RL), agent systems, or search systems.
- Experience with long-horizon tasks and context management.
Culture & Benefits
- Opportunity to work on enterprise-grade AI products impacting millions of users.
- Collaborative environment with access to massive-scale production data.
- Strong culture of technical mentorship and scientific rigor.
- Commitment to equal opportunity and workplace inclusivity.
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