Engineer Graduate, Implementation - Algorithm Engineering, TikTok - 2026 Start (BS/MS)
Responsibilities
We are the Algorithm Engineering Team from the Data-TnS department. As our name suggests, we are a diverse group committed to using our engineering skills to accelerate model iteration and production. On the other hand, we utilize various tools to enhance the efficiency of integrating our models into our business scenarios. Our team's goal is 'Let TnS's algorithmic capabilities cover wherever TikTok needs them.'
Look forward to your joining in pursuing this exciting vision!
We are looking for talented individuals to join our team in 2026. As a graduate, you will get 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 end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.
Responsibilities:
- Work closely with algorithm teams to improve efficiency in 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.
Qualifications
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 programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other 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.) is preferred.
- Strong problem-solving skills and a proactive approach to identifying and addressing technical challenges.
- Great communication and teamwork skills.
- Interested and experienced in one or more of the following areas: machine learning, deep learning, computational acceleration, and performance optimization.
Job Information
[For Pay Transparency] Compensation Description (annually)
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The base salary range for this position in the selected city is $118657 - $259200 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
Hear directly from employees about what it is like to work at TikTok.