Overview
On Site
USD 118,657.00 - 250,000.00 per year
Full Time
Skills
Supply Chain Management
Logistics
Data Processing
High Availability
Research and Development
Partnership
Computer Science
Java
Golang
Python
Redis
MongoDB
Elasticsearch
Message Queues
Big Data
Apache Hive
HDFS
Apache HBase
Multithreading
Machine Learning (ML)
Workflow
Algorithms
Communication
Collaboration
Insurance
Life Insurance
LOS
Management
Information Technology
Video
SAFE
FOCUS
Privacy
Data Security
Screening
Recruiting
Job Details
Location :
San Jose
Employment Type :
Regular
Job Code :
A95334
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Responsibilities
About the Team We are the TikTok Shop engineering team, responsible for supporting the implementation of supply chain and logistics algorithm capabilities. We have developed many online services with millions of QPS, and also developed many computing links for video content understanding. We are also responsible for some AIand LLM projects. If you are interested in high concurrent online services and CV/LLM, you are welcome to join us. Responsibilities: - Responsible for TikTok Shop Logistics algorithm online services, data processing link infrastructure work; - Provide high-performance, high-availability and flexible architecture design; - Solve engineering problems in a complex ecosystem, ensure stability of services, and continuously improve R&D efficiency; In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Qualifications
Minimum Qualifications: - Bachelor or higher degree in Computer Science or related technical discipline - 0-3 years minimum experience developing highly scalable backend services and systems using at least one of Java/Golang/Python. We are open to a New Graduate. - Familiar with mainstream KV (Redis/MongoDB), ElasticSearch and vector retrieval architecture, familiar with common basic components such as message queue and rule engine, familiar with Big data computing tools such as Hive\ Hdfs\ Hbase, with multi-threading and high-performance design, coding and performance Experience in tuning. Preferred Qualifications: - Understanding of machine learning principles, understand the workflow of algorithm engineers, and have experience in model engineering tuning is preferred; - Excellent problem disassembly and analysis skills, cross-team communication and coordination skills are preferred. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $250000 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 USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
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.
USDS Reasonable Accommodation
USDS 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 :
A95334
Apply to this job
Share this listing:
Responsibilities
About the Team We are the TikTok Shop engineering team, responsible for supporting the implementation of supply chain and logistics algorithm capabilities. We have developed many online services with millions of QPS, and also developed many computing links for video content understanding. We are also responsible for some AIand LLM projects. If you are interested in high concurrent online services and CV/LLM, you are welcome to join us. Responsibilities: - Responsible for TikTok Shop Logistics algorithm online services, data processing link infrastructure work; - Provide high-performance, high-availability and flexible architecture design; - Solve engineering problems in a complex ecosystem, ensure stability of services, and continuously improve R&D efficiency; In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
Qualifications
Minimum Qualifications: - Bachelor or higher degree in Computer Science or related technical discipline - 0-3 years minimum experience developing highly scalable backend services and systems using at least one of Java/Golang/Python. We are open to a New Graduate. - Familiar with mainstream KV (Redis/MongoDB), ElasticSearch and vector retrieval architecture, familiar with common basic components such as message queue and rule engine, familiar with Big data computing tools such as Hive\ Hdfs\ Hbase, with multi-threading and high-performance design, coding and performance Experience in tuning. Preferred Qualifications: - Understanding of machine learning principles, understand the workflow of algorithm engineers, and have experience in model engineering tuning is preferred; - Excellent problem disassembly and analysis skills, cross-team communication and coordination skills are preferred. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $250000 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 USDS
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
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.
USDS Reasonable Accommodation
USDS 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.