Software Engineer Graduate (Global E-commerce-Search) - 2027 Start
Aug 6, 2026 Seattle
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 5,001 - 10,000 employees
- Industry: Entertainment & Gaming
Responsibilities
About the Team:
The Global E-Commerce Search Infrastructure team builds the systems that power product discovery on TikTok Shop. We develop reliable, high-performance services across retrieval, indexing, query understanding, ranking infrastructure, real-time data processing, and AI-enabled search.
Our engineers work on production systems used at global scale. We partner with machine-learning engineers, product teams, and other infrastructure teams to improve search quality, system performance, reliability, and development velocity.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Design, implement, test, deploy, and operate well-scoped components of large-scale search and distributed systems.
- Build reliable online services and data pipelines with attention to latency, throughput, availability, freshness, cost, and maintainability.
- Contribute to retrieval, indexing, query-processing, ranking infrastructure, or AI-enabled search capabilities.
- Participate in technical design discussions, code reviews, documentation, testing, monitoring, and incident learning.
- Use profiling, benchmarking, and production metrics to identify bottlenecks and drive measurable improvements.
- Collaborate with search, machine-learning, product, and infrastructure partners to translate requirements into practical engineering solutions.
- Learn from experienced engineers while progressively taking ownership of larger components and projects.
Qualifications
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Programming experience in at least one general-purpose language, such as C++, Go, Java, or Python.
- Deep understanding of data structures, algorithms, and object-oriented or modular software design.
- Familiarity with core software-engineering practices, including testing, debugging, version control, and code review.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
- Technical internships, research, open-source contributions, or substantial academic or personal projects.
- Distributed systems, operating systems, networking, databases, storage systems, or low-latency services.
- Search or information-retrieval concepts, such as inverted indexes, BM25, learning-to-rank, query understanding, vector search, FAISS, or HNSW.
- Data-processing frameworks such as Kafka, Flink, or Spark.
- AI or machine-learning infrastructure, model serving, retrieval-augmented generation, or agentic systems.
- Performance profiling, Linux development, production debugging, competitive programming, or relevant publications.
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
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $121600 - $243200 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.
About the Team:
The Global E-Commerce Search Infrastructure team builds the systems that power product discovery on TikTok Shop. We develop reliable, high-performance services across retrieval, indexing, query understanding, ranking infrastructure, real-time data processing, and AI-enabled search.
Our engineers work on production systems used at global scale. We partner with machine-learning engineers, product teams, and other infrastructure teams to improve search quality, system performance, reliability, and development velocity.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Design, implement, test, deploy, and operate well-scoped components of large-scale search and distributed systems.
- Build reliable online services and data pipelines with attention to latency, throughput, availability, freshness, cost, and maintainability.
- Contribute to retrieval, indexing, query-processing, ranking infrastructure, or AI-enabled search capabilities.
- Participate in technical design discussions, code reviews, documentation, testing, monitoring, and incident learning.
- Use profiling, benchmarking, and production metrics to identify bottlenecks and drive measurable improvements.
- Collaborate with search, machine-learning, product, and infrastructure partners to translate requirements into practical engineering solutions.
- Learn from experienced engineers while progressively taking ownership of larger components and projects.
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Programming experience in at least one general-purpose language, such as C++, Go, Java, or Python.
- Deep understanding of data structures, algorithms, and object-oriented or modular software design.
- Familiarity with core software-engineering practices, including testing, debugging, version control, and code review.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
- Technical internships, research, open-source contributions, or substantial academic or personal projects.
- Distributed systems, operating systems, networking, databases, storage systems, or low-latency services.
- Search or information-retrieval concepts, such as inverted indexes, BM25, learning-to-rank, query understanding, vector search, FAISS, or HNSW.
- Data-processing frameworks such as Kafka, Flink, or Spark.
- AI or machine-learning infrastructure, model serving, retrieval-augmented generation, or agentic systems.
- Performance profiling, Linux development, production debugging, competitive programming, or relevant publications.
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
About the Team:
The Global E-Commerce Search Infrastructure team builds the systems that power product discovery on TikTok Shop. We develop reliable, high-performance services across retrieval, indexing, query understanding, ranking infrastructure, real-time data processing, and AI-enabled search.
Our engineers work on production systems used at global scale. We partner with machine-learning engineers, product teams, and other infrastructure teams to improve search quality, system performance, reliability, and development velocity.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Design, implement, test, deploy, and operate well-scoped components of large-scale search and distributed systems.
- Build reliable online services and data pipelines with attention to latency, throughput, availability, freshness, cost, and maintainability.
- Contribute to retrieval, indexing, query-processing, ranking infrastructure, or AI-enabled search capabilities.
- Participate in technical design discussions, code reviews, documentation, testing, monitoring, and incident learning.
- Use profiling, benchmarking, and production metrics to identify bottlenecks and drive measurable improvements.
- Collaborate with search, machine-learning, product, and infrastructure partners to translate requirements into practical engineering solutions.
- Learn from experienced engineers while progressively taking ownership of larger components and projects.
Qualifications
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Programming experience in at least one general-purpose language, such as C++, Go, Java, or Python.
- Deep understanding of data structures, algorithms, and object-oriented or modular software design.
- Familiarity with core software-engineering practices, including testing, debugging, version control, and code review.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
- Technical internships, research, open-source contributions, or substantial academic or personal projects.
- Distributed systems, operating systems, networking, databases, storage systems, or low-latency services.
- Search or information-retrieval concepts, such as inverted indexes, BM25, learning-to-rank, query understanding, vector search, FAISS, or HNSW.
- Data-processing frameworks such as Kafka, Flink, or Spark.
- AI or machine-learning infrastructure, model serving, retrieval-augmented generation, or agentic systems.
- Performance profiling, Linux development, production debugging, competitive programming, or relevant publications.
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
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $121600 - $243200 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.
Responsibilities
ResponsibilitiesAbout the Team:
The Global E-Commerce Search Infrastructure team builds the systems that power product discovery on TikTok Shop. We develop reliable, high-performance services across retrieval, indexing, query understanding, ranking infrastructure, real-time data processing, and AI-enabled search.
Our engineers work on production systems used at global scale. We partner with machine-learning engineers, product teams, and other infrastructure teams to improve search quality, system performance, reliability, and development velocity.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
Responsibilities:
- Design, implement, test, deploy, and operate well-scoped components of large-scale search and distributed systems.
- Build reliable online services and data pipelines with attention to latency, throughput, availability, freshness, cost, and maintainability.
- Contribute to retrieval, indexing, query-processing, ranking infrastructure, or AI-enabled search capabilities.
- Participate in technical design discussions, code reviews, documentation, testing, monitoring, and incident learning.
- Use profiling, benchmarking, and production metrics to identify bottlenecks and drive measurable improvements.
- Collaborate with search, machine-learning, product, and infrastructure partners to translate requirements into practical engineering solutions.
- Learn from experienced engineers while progressively taking ownership of larger components and projects.
Qualifications
QualificationsMinimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Programming experience in at least one general-purpose language, such as C++, Go, Java, or Python.
- Deep understanding of data structures, algorithms, and object-oriented or modular software design.
- Familiarity with core software-engineering practices, including testing, debugging, version control, and code review.
- Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
- Technical internships, research, open-source contributions, or substantial academic or personal projects.
- Distributed systems, operating systems, networking, databases, storage systems, or low-latency services.
- Search or information-retrieval concepts, such as inverted indexes, BM25, learning-to-rank, query understanding, vector search, FAISS, or HNSW.
- Data-processing frameworks such as Kafka, Flink, or Spark.
- AI or machine-learning infrastructure, model serving, retrieval-augmented generation, or agentic systems.
- Performance profiling, Linux development, production debugging, competitive programming, or relevant publications.
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
Additional Information
- Salary: $121,600 – $243,200
- Posted: Aug 6, 2026