Overview
On Site
USD 136,800.00 per year
Full Time
Skills
Modeling
Productivity
Research and Development
Testing
Root Cause Analysis
Scalability
Computer Science
Software Engineering
Algorithms
Python
C++
Programming Languages
Backend Development
Storage
Orchestration
Caching
Concurrent Computing
Conflict Resolution
Problem Solving
Teamwork
Collaboration
Communication
Machine Learning (ML)
TensorFlow
PyTorch
Distributed Computing
Insurance
Life Insurance
Management
Information Technology
Video
LOS
Recruiting
Job Details
Location :
San Jose
Employment Type :
Regular
Job Code :
A04135B
Apply to this job
Share this listing:
Responsibilities
About the Team: The TikTok Feeds Recommendation Architecture team is responsible for the design and development of TikTok's For You Feed recommendation system. Our scope spans the entire online and offline recommendation pipeline, including strategy, modeling, and data infrastructure. We build scalable and efficient infrastructure to support rapid algorithm iteration, tackle massive throughput challenges, and enhance system performance, cost-efficiency, and stability. Our mission is to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale. Responsibilities - What You'll Do - Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to TikTok content understanding. - Contribute to improving R&D efficiency across content understanding scenarios, including but not limited to testing, deployment, monitoring, and root cause analysis. - Responsible for optimizing system stability, performance, and scalability across different scenarios.
Qualifications
Minimum Qualifications - Bachelor's degree or above in Computer Science, Software Engineering, or a related field. - Solid programming and algorithm foundations; proficient in Python, Go, C++, or other programming languages. - Strong backend development skills, including but not limited to storage, service orchestration, caching, and concurrency. - Good product sense, strong problem-solving skills, and excellent teamwork and communication abilities. Preferred Qualifications: - Knowledge of machine learning and familiarity with at least one mainstream machine learning framework (e.g., TensorFlow or PyTorch). - Experience in designing high-traffic service architectures or working extensively with distributed computing.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $136800 - $359720 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 TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Apply to this job
San Jose
Employment Type :
Regular
Job Code :
A04135B
Apply to this job
Share this listing:
Responsibilities
About the Team: The TikTok Feeds Recommendation Architecture team is responsible for the design and development of TikTok's For You Feed recommendation system. Our scope spans the entire online and offline recommendation pipeline, including strategy, modeling, and data infrastructure. We build scalable and efficient infrastructure to support rapid algorithm iteration, tackle massive throughput challenges, and enhance system performance, cost-efficiency, and stability. Our mission is to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale. Responsibilities - What You'll Do - Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to TikTok content understanding. - Contribute to improving R&D efficiency across content understanding scenarios, including but not limited to testing, deployment, monitoring, and root cause analysis. - Responsible for optimizing system stability, performance, and scalability across different scenarios.
Qualifications
Minimum Qualifications - Bachelor's degree or above in Computer Science, Software Engineering, or a related field. - Solid programming and algorithm foundations; proficient in Python, Go, C++, or other programming languages. - Strong backend development skills, including but not limited to storage, service orchestration, caching, and concurrency. - Good product sense, strong problem-solving skills, and excellent teamwork and communication abilities. Preferred Qualifications: - Knowledge of machine learning and familiarity with at least one mainstream machine learning framework (e.g., TensorFlow or PyTorch). - Experience in designing high-traffic service architectures or working extensively with distributed computing.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $136800 - $359720 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 TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
Apply to this job
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.