Research Scientist Graduate (Infrastructure System Lab)- 2026 Start (PHD)

ByteDance

$153K — $300K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Software Development, Computer Science, Computer Engineering, or related field.
  • Knowledge of distributed systems, including storage and database systems.
  • Proficiency in programming languages such as C/C++, Go, Java, or Python.
  • Research experience in infrastructure systems is preferred.
  • Experience with AI and LLM research is a plus.
  • Strong record of published research is desirable.

Responsibilities

  • Conduct research surveys to develop new system algorithms.
  • Design and implement new systems into production environments.
  • Debug systems and assess performance metrics.
  • Collaborate with mentors and lab members on projects.
  • Prepare and submit technical reports and research papers.

Benefits

  • Access to medical, dental, and vision insurance from day one.
  • 401(k) plan with company matching contributions.
  • Paid parental leave and disability coverage.
  • Life insurance provided to employees.
  • 10 paid holidays and 10 paid sick days annually.
  • 17 days of Paid Personal Time, increasing with tenure.
Full Job Description
Responsibilities: - Do research surveys and come up with a new system and algorithm design. - Develop new systems and successfully land them into production environments - Be able to debug systems and measure system performance. - Collaborate with mentors and other lab members. - Write technical reports and publish papers. Qualification Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Understand how distributed systems work, such as distributed storage and database systems. - Great programming skill in one or more of the following programming languages: C/C++, Go, Java or Python Preferred Qualifications: - Strong past research experience in infrastructure system areas - Research experience with AI and LLM - Strong publication records Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $153900 - $300960 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: 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: 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.

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