Research Scientist in Large Language Model(LLM) - Seed

ByteDance

$254K — $480K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Excellent coding skills in C/C++ or Python
  • Strong problem analysis and large-scale model application abilities
  • Good communication and collaboration skills
  • Experience with large-scale model training and deep learning preferred
  • Leadership experience in influential projects or papers in large-scale models preferred

Responsibilities

  • Explore and optimize large-scale model systems
  • Construct data and tune instructions for model optimization
  • Enhance model capabilities in reasoning, coding, and mathematics
  • Conduct in-depth research on future use cases
  • Innovate technological solutions from concept to completion

Benefits

  • Day one access to medical, dental, and vision insurance
  • 401(k) savings plan with company match
  • Paid parental leave
  • Short-term and long-term disability coverage
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays and 10 sick days per year
  • 17 days of Paid Personal Time with increasing accruals by tenure
Full Job Description
Responsibilitie

Team Info: 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 pretraining, posttraining, inference, memory capabilities, learning, interpretability and other related directions. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we explore methods to enhance applications through technological innovation. The main job directions include: 1. Explore large-scale models and optimize systems; 2. Data construction, instruction tuning, preference alignment, and model optimization; 3. Improving relevant model capabilities, such as reasoning, code, math etc; 4. In-depth research and exploration of future use cases;

Qualification

Minimum Qualifications - 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. Preferred Qualifications: - Experience with large-scale model training, deep learning and machine learning algorithms are preferred; - Candidates who have led influential projects or papers in the field of large-scale models are preferred;

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $254400 - $480000 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.

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