Responsibilities: - Design evaluation systems for LLM-based agents, covering task success, tool use, reasoning quality, and reliability. - Build benchmarks and automated judging pipelines, combining rule-based checks, model-based judging, and human review, etc. - Analyze agent execution traces and user feedback to identify failure patterns and turn them into concrete system improvements. - Support the closed loop from experience to capability, and work with research, platform, and product teams to bring methods into production. Qualification Minimum Qualifications: - Individuals who are completing or have recently completed a PhD's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. - Solid foundation in machine learning and deep learning. - Hands-on experience with LLM-based systems (e.g., agents, tool calling, retrieval, multi-agent systems) through research, internships, or projects. - Strong Python skills and experience with a mainstream ML or agent evaluation framework. - Demonstrated research or engineering ability through publications, substantial projects, internships, or open-source work. Preferred Qualifications: - Publications at top-tier ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL etc.), especially in agent learning, self-improving/self-evolving/RSI, or agent evaluation. - Experience with evaluation methodology: metric design, model-based judging, or annotation and statistical analysis, etc. - Familiarity with LLM post-training, reasoning and planning methods, or continual learning. - Experience with feedback-driven optimization loops, or with large-scale log and trace analysis. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $162000 - $316800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.