Research Scientist in Language Model; LLM-Seed

Research Scientist in Large Language Model (LLM)-Seed Responsibilities

The Seed LLM team is dedicated to advancing the next generation of LLMs and solving fundamental challenges in LLM development. Our areas of focus include model pre‑training, post‑training, inference, memory capabilities, learning, interpretability, and other related directions.

• Explore large‑scale models and optimize systems
• Data construction, instruction tuning, preference alignment, and model optimization
• Improve relevant model capabilities, such as reasoning, code, math, etc.
• In‑depth research and exploration of future use cases

• Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python.
• Excellent problem analysis and solving skills, able to solve problems in large‑scale model training and application.
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

• Experience with large‑scale model training, deep learning, and machine learning algorithms.
• Has led influential projects or papers in the field of large‑scale models.

The base salary range for this position in the selected city is $244,800 - $450,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. 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:
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).

• 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.
• Criminal history may have a direct, adverse and negative relationship on the following job duties:
  1) Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  2) Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  3) Exercising sound judgment.