TikTok
Engineer Graduate, Implementation - Algorithm Engineering, TikTok - 2026 Start (
TikTok, San Jose, California, United States, 95199
Engineer Graduate, Implementation - Algorithm Engineering, TikTok - 2026 Start (BS/MS)
Join to apply for the Engineer Graduate, Implementation - Algorithm Engineering role at TikTok.
We are the Algorithm Engineering Team from the Data‑TnS department. We are a diverse group committed to using our engineering skills to accelerate model iteration and production. We also use various tools to increase the efficiency of integrating our models into business scenarios. Our goal is to let TnS’s algorithmic capabilities cover wherever TikTok needs them.
We are looking for talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by the end of 2026. Please state your availability and graduation date clearly in your resume.
Responsibilities
Work closely with algorithm teams to improve the efficiency of creating and evaluating algorithm applications, with business teams to optimize the integration plan for algorithm applications and use algorithm applications across various business scenarios, and with ML‑OPS teams to reduce the cost of managing and optimizing algorithm applications in different business scenarios.
Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. Work includes multiple sub‑areas: model application management, orchestration for complex model applications, model application stability, etc.
Minimum Qualifications
Bachelor or above degree in computer science or a related technical discipline.
Excellent programming skills, data structure and algorithm skills, proficient in GoLang / C / C++ / Python. Candidates with awards in ACM/ICPC, NOI/IOI, Topcoder, Kaggle, or similar competitions are preferred.
Experience with common backend stack (such as storage, message queue, cache, etc.).
Understanding of the principles of distributed systems and parallel computing.
Preferred Qualifications
Experience with Big Data systems and related technologies (Hive, Flink, ClickHouse, etc.).
Strong problem‑solving skills and a proactive approach to identifying and addressing technical challenges.
Great communication and teamwork skills.
Interested in and experienced in machine learning, deep learning, computational acceleration, and performance optimization.
Job Information 【For Pay Transparency】 Compensation Description (Annually): The base salary range for this position in the selected city is $118,657 – $259,200 annually.
Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that compensates and recognizes employees for their work. This role may also 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.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
Seniority level: Internship | Employment type: Full‑time | Job function: Information Technology | Industries: Entertainment Providers.
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We are the Algorithm Engineering Team from the Data‑TnS department. We are a diverse group committed to using our engineering skills to accelerate model iteration and production. We also use various tools to increase the efficiency of integrating our models into business scenarios. Our goal is to let TnS’s algorithmic capabilities cover wherever TikTok needs them.
We are looking for talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by the end of 2026. Please state your availability and graduation date clearly in your resume.
Responsibilities
Work closely with algorithm teams to improve the efficiency of creating and evaluating algorithm applications, with business teams to optimize the integration plan for algorithm applications and use algorithm applications across various business scenarios, and with ML‑OPS teams to reduce the cost of managing and optimizing algorithm applications in different business scenarios.
Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. Work includes multiple sub‑areas: model application management, orchestration for complex model applications, model application stability, etc.
Minimum Qualifications
Bachelor or above degree in computer science or a related technical discipline.
Excellent programming skills, data structure and algorithm skills, proficient in GoLang / C / C++ / Python. Candidates with awards in ACM/ICPC, NOI/IOI, Topcoder, Kaggle, or similar competitions are preferred.
Experience with common backend stack (such as storage, message queue, cache, etc.).
Understanding of the principles of distributed systems and parallel computing.
Preferred Qualifications
Experience with Big Data systems and related technologies (Hive, Flink, ClickHouse, etc.).
Strong problem‑solving skills and a proactive approach to identifying and addressing technical challenges.
Great communication and teamwork skills.
Interested in and experienced in machine learning, deep learning, computational acceleration, and performance optimization.
Job Information 【For Pay Transparency】 Compensation Description (Annually): The base salary range for this position in the selected city is $118,657 – $259,200 annually.
Compensation may vary outside of this range depending on a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that compensates and recognizes employees for their work. This role may also 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.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
Seniority level: Internship | Employment type: Full‑time | Job function: Information Technology | Industries: Entertainment Providers.
#J-18808-Ljbffr