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Research Scientist – TikTok Recommendation; NextGen LLM - Global Frontier Tech Prog

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Ellis Technologies, Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 212800 - 450000 USD Yearly USD 212800.00 450000.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist – TikTok Recommendation(NextGen LLM) - Global Frontier Tech Recruitment Prog[...]

Research Scientist – Tik Tok Recommendation(Next Gen LLM) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

Location:

San Jose

Employment Type:

Regular

Job Code: A85584

Responsibilities
  • Work on foundational models, including multimodality pretraining, multimodal large language models, image generation, and video generation, to support GenAI and content understanding.
  • Integrate recommendation large models and multimodal large models with the Agentic Rec framework to reshape content distribution logic and enable deep semantic association and autonomous planning capabilities.
  • Address challenges such as gradient convergence, representation drift in ultra-long behavioral sequences, and enabling logical reasoning capabilities.
  • Explore alignment across video, image-text content, and user intent to construct a fully multimodal semantic space that goes beyond text.
  • Develop recommendation agents with self-reflection, tool invocation, and long-horizon planning to transform recommendation and content distribution experiences.
  • Drive research and develop novel algorithms for extreme-scale reasoning, multimodal fusion, and autonomous evolution.
  • Deliver state-of-the-art research outputs and contribute to business metric gains in recommendation performance and system efficiency.
Qualifications
  • Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or related field (completed or completing).
  • Experience in computer vision, natural language processing, or machine learning.
  • Solid knowledge and experience with a major deep learning framework such as PyTorch, Tensor Flow, MXNet, or Caffe.
  • Familiarity with deep neural-network architectures such as transformer, SSM, CNN, RNN, LSTM, etc.
  • Strong analytical and problem-solving skills and ability to work collaboratively in cross-functional teams.
  • Preferred Qualifications
  • Degree in computer science, electrical engineering or related fields.
  • Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR.
  • Job Information

    Base salary range: $212,800 - $450,000 annually.

    Benefits
    • Medical, dental, vision insurance from day one.
    • 401(k) savings plan with company match.
    • Paid parental leave, short-term and long-term disability coverage, life insurance.
    • Well-being benefits and 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.

    For Los Angeles County (unincorporated) Candidates:
    Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

    • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
    • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
    • Exercising sound judgment.
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