Research Scientist in Large Language Model (LLM) - Seed - Graduates - 2027 Start (BS/MS)

ByteDance; San Jose (CA); On-site; USD 212,800 - 387,600; Full time

Benefits offered by this job

Medical, dental & vision insurance

401(k) with company match

Paid parental leave

Disability & life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

ByteDance's Seed LLM team is seeking a student intern to contribute to large-scale model research, data preparation, and model optimization in California. The role emphasizes hands-on work across pretraining, posttraining, inference, memory, and interpretability with collaboration across teams.

The candidate should be pursuing a degree in CS, mathematics, or engineering, with completion by 2027, strong coding skills in C/C++ or Python, and an interest in LLM-related projects.

Qualifications

• Pursuing a Bachelor's or Master's degree with expected graduation in 2027 and onboarding by end of 2027.
• Excellent coding ability, data structures and fundamental algorithms; proficient in C/C++ or Python.
• Interest or project experience in LLM-related areas (training, evaluation, applications).

Responsibilities

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

Skills

C/C++

Python

Data structures & algorithms

Education

Bachelor's or Master's in CS/Math/Engineering

Job description

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 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.

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

Minimum Qualifications

• Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027.
• Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
• Demonstrated interest or project experience in LLM-related areas such as training, evaluation, or applications.

Preferred Qualifications

• Experience with machine learning, deep learning, or large-scale models through internships is preferred.
• Strong problem analysis and problem‑solving skills, and good communication and collaboration skills, with the ability to learn quickly and work effectively in a team.

Job Information

For Pay Transparency: Compensation Description (Annually)

The base salary range for this position in the selected city is $212,800 - $387,600 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.

For Los Angeles County (unincorporated) Candidates

• 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; and
• Exercising sound judgment.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Reasonable Accommodation

ByteDance 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 at https://tinyurl.com/RA-request.