Responsibilities Responsibilities 1. Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference. 2. Advance the event-sequence-driven generative recommendation paradigm, integrating multimodal understanding and generative capabilities. 3. Apply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design. 4. Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders. 5. Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience. Qualifications Minimum Qualifications: 1. MS/PhD in Computer Science, related technical field or equivalent industrial research experience. 2. Solid theoretical foundation in machine learning, deep learning, or information retrieval. 3. Proficiency in Python and familiarity with mainstream deep learning frameworks (e.g., PyTorch). 4. Strong passion for intelligent recommendation systems and a self-driven research mindset. Preferred Qualifications: 1. Experience in large-scale recommendation system development or large-model training, with notable technical achievements in a sub-area. 2. Research experience or publications in LLMs, multimodal learning, reinforcement learning, or generative recommendation. 3. Familiarity with pre-training and post-training processes for large language models (LLMs) or Foundation Models. Job Information [For Pay Transparency]Compensation Description (Annually) The base salary range for this position in the selected city is $148200 - $300960 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.