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Research Scientist Graduate ( Recommendation-E-commerce, LLM & Generative Recommendation

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 136800 - 359720 USD Yearly USD 136800.00 359720.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist Graduate (TikTok Recommendation-E-commerce, LLM & Generative Recommendation)[...]

Overview

Research Scientist Graduate (Tik Tok Recommendation-E-commerce, LLM & Generative Recommendation) - 2026 Start (PhD)

Join to apply for the Research Scientist Graduate (Tik Tok Recommendation-E-commerce, LLM & Generative Recommendation) - 2026 Start (PhD) role at Tik Tok
.

Responsibilities
  • Design algorithms and systems that leverage LLMs and generative models for content-to-commerce matching, product summarization, etc
  • Explore novel architectures and strategies for generative recommendation systems
  • Contribute to the research community via internal papers, patents, or external publications
  • Drive scientific rigor while balancing real-world constraints
Qualifications
Minimum Qualifications:
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
  • Experience with LLMs (e.g., GPT, LLaMA, PaLM) or diffusion/generative models, through research or practical application
  • Proficient coding skills in Python and hands-on experience with deep learning frameworks such as Tensor Flow or Py Torch
  • Demonstrated ability to conduct rigorous research and analyze large-scale data
  • Strong problem-solving skills and a high sense of ownership
Preferred Qualifications:
  • Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, Rec Sys)
  • Experience with recommendation systems, retrieval models, or multi-modal learning
  • Familiarity with building and deploying real-time, scalable ML systems in production
  • Background in e-commerce or related applied AI research domains
compensation and Benefits

The base salary range for this position in the selected city is $136800 - $359720 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.

Note on accessibility

Tik Tok Accommodation:
Tik Tok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us.

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