Research Scientist — Agentic AI for Recommender Systems (PhD)

TikTok; San Jose (CA); On-site; USD 136,800 - 359,720; Full time

Benefits offered by this job

Medical, dental, and vision insurance from day one

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid time off (holidays, sick days, personal time)

Job summary

A leading social media platform is seeking a Research Scientist Graduate in San Jose, California, to focus on recommendation-agentic AI. The ideal candidate will be a final-year Ph.D. student or recent graduate in Computer Science with strong knowledge in reinforcement learning. Responsibilities include designing datasets, optimizing algorithms, and translating research into applications. The position offers a competitive salary and comprehensive benefits starting from day one.

Qualifications

• Final-year Ph.D. candidate or recent Ph.D. graduate in Computer Science or a related field.
• Strong knowledge and hands-on experience in reinforcement learning, agent development, or LLM post-training.
• Passion for exploring cutting-edge research topics and bridging theory with practice.

Responsibilities

• Design and construct reinforcement learning datasets tailored for recommendation scenarios.
• Explore and optimize reinforcement learning algorithms, and develop scalable training and inference frameworks.
• Conduct research on agentic recommendation systems and generative recommendation models.

Skills

Reinforcement learning

Agent development

LLM post-training

Education

PhD in Computer Science or related field

Job description

A leading social media platform is seeking a Research Scientist Graduate in San Jose, California, to focus on recommendation-agentic AI. The ideal candidate will be a final-year Ph.D. student or recent graduate in Computer Science with strong knowledge in reinforcement learning. Responsibilities include designing datasets, optimizing algorithms, and translating research into applications. The position offers a competitive salary and comprehensive benefits starting from day one.