Research Scientist in Vision Foundation Model - 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, and vision insurance

401(k) savings plan with company match

Paid parental leave

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

ByteDance is looking for a talented candidate to develop and scale vision foundation models, focusing on image and video modalities. Applicants should be pursuing a Bachelor's or Master's degree in a relevant field, have excellent coding skills in languages like C/C++ or Python, and possess strong problem-solving abilities. The position offers a competitive salary range of $212,800 - $387,600 annually, along with comprehensive benefits including medical insurance, paid parental leave, and a 401(k) plan.

Qualifications

• Currently pursuing a Bachelor's or Master's degree with an expected graduation date in 2027.
• Excellent coding ability and knowledge of data structures and algorithms.
• Demonstrated interest or project experience is preferred.

Responsibilities

• Develop and scale vision foundation models across image and video modalities.
• Design data pipelines, pre‑training strategies, and post‑training methods for vision tasks.
• Optimize model architectures and training efficiency.

Skills

Coding ability

Data structures

Algorithms

Proficiency in C/C++ or Python

Problem-solving skills

Communication skills

Education

Bachelor's or Master's degree in computer science, mathematics, engineering, or related field

Job description

Responsibilities

• Develop and scale vision foundation models across image and video modalities.
• Design data pipelines, pre‑training strategies, and post‑training methods for vision tasks.
• Improve core capabilities such as perception, reasoning, and multimodal understanding.
• Optimize model architectures, training efficiency, and evaluation frameworks.
• Explore real‑world applications of vision models in multimodal systems.

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 relevant areas.

Preferred Qualifications

• Experience with computer vision, multimodal learning, or machine learning through internships is preferred.
• Strong problem‑solving and communication skills.

Compensation

The base salary range for this position in the selected city is $212800 - $387600 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

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.

Legal & Equal Opportunity

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.