Senior Software Engineer, Ranking Engineering
Apr 15, 2025 San Jose
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About The Team
TikTok's recommendation system is at the core of our user experience, delivering personalized content to millions of users in real time. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.
What you will be doing:
- Architect, build, and optimize large-scale ranking systems that serve billions of daily recommendations with low latency and high precision.
- Design flexible, efficient, and scalable ranking frameworks to support evolving machine learning models and features.
- Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
- Analyze system bottlenecks and apply performance optimizations at the framework and infrastructure level (CPU/GPU, memory, storage, networking).
- Drive technical excellence and best practices in software design, code quality, and system reliability.
Qualifications
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience in building large-scale recommendation, ranking, or search systems.
- Experience in C++, Go, or Python, and with distributed computing frameworks.
- Solid understanding of ranking algorithms, machine learning inference systems, and system performance optimization.
Preferred Qualifications:
- Experience in machine learning platform infrastructure, particularly online prediction serving or ranking pipelines.
- Familiarity with feature engineering pipelines, model lifecycle management, and A/B testing systems.
- Experience working with multi-threading, memory management, and low-latency service architectures.
- Proven ability to lead complex projects across multiple teams and stakeholders.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $218400 - $480000 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
TikTok's recommendation system is at the core of our user experience, delivering personalized content to millions of users in real time. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.
What you will be doing:
- Architect, build, and optimize large-scale ranking systems that serve billions of daily recommendations with low latency and high precision.
- Design flexible, efficient, and scalable ranking frameworks to support evolving machine learning models and features.
- Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
- Analyze system bottlenecks and apply performance optimizations at the framework and infrastructure level (CPU/GPU, memory, storage, networking).
- Drive technical excellence and best practices in software design, code quality, and system reliability.
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience in building large-scale recommendation, ranking, or search systems.
- Experience in C++, Go, or Python, and with distributed computing frameworks.
- Solid understanding of ranking algorithms, machine learning inference systems, and system performance optimization.
Preferred Qualifications:
- Experience in machine learning platform infrastructure, particularly online prediction serving or ranking pipelines.
- Familiarity with feature engineering pipelines, model lifecycle management, and A/B testing systems.
- Experience working with multi-threading, memory management, and low-latency service architectures.
- Proven ability to lead complex projects across multiple teams and stakeholders.
About The Team
TikTok's recommendation system is at the core of our user experience, delivering personalized content to millions of users in real time. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.
What you will be doing:
- Architect, build, and optimize large-scale ranking systems that serve billions of daily recommendations with low latency and high precision.
- Design flexible, efficient, and scalable ranking frameworks to support evolving machine learning models and features.
- Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
- Analyze system bottlenecks and apply performance optimizations at the framework and infrastructure level (CPU/GPU, memory, storage, networking).
- Drive technical excellence and best practices in software design, code quality, and system reliability.
Qualifications
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience in building large-scale recommendation, ranking, or search systems.
- Experience in C++, Go, or Python, and with distributed computing frameworks.
- Solid understanding of ranking algorithms, machine learning inference systems, and system performance optimization.
Preferred Qualifications:
- Experience in machine learning platform infrastructure, particularly online prediction serving or ranking pipelines.
- Familiarity with feature engineering pipelines, model lifecycle management, and A/B testing systems.
- Experience working with multi-threading, memory management, and low-latency service architectures.
- Proven ability to lead complex projects across multiple teams and stakeholders.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $218400 - $480000 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
TikTok's recommendation system is at the core of our user experience, delivering personalized content to millions of users in real time. Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.
What you will be doing:
- Architect, build, and optimize large-scale ranking systems that serve billions of daily recommendations with low latency and high precision.
- Design flexible, efficient, and scalable ranking frameworks to support evolving machine learning models and features.
- Collaborate with ML engineers to integrate ranking models into production, ensuring seamless inference, freshness, and feedback loops.
- Analyze system bottlenecks and apply performance optimizations at the framework and infrastructure level (CPU/GPU, memory, storage, networking).
- Drive technical excellence and best practices in software design, code quality, and system reliability.
Qualifications
QualificationsMinimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience in building large-scale recommendation, ranking, or search systems.
- Experience in C++, Go, or Python, and with distributed computing frameworks.
- Solid understanding of ranking algorithms, machine learning inference systems, and system performance optimization.
Preferred Qualifications:
- Experience in machine learning platform infrastructure, particularly online prediction serving or ranking pipelines.
- Familiarity with feature engineering pipelines, model lifecycle management, and A/B testing systems.
- Experience working with multi-threading, memory management, and low-latency service architectures.
- Proven ability to lead complex projects across multiple teams and stakeholders.
Additional Information
- Salary: $218,400 – $480,000
- Posted: Apr 15, 2025