Senior Software Engineer, Data Platform - Experimentation & Evaluation
Jul 24, 2024 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
Team Introduction
Our mission in experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decision for the products. The supported scenarios include recommendation, push, ads, search, mobile app, UI interaction and service upgrades etc.
Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.
As a software engineer in experimentation and evaluation team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
- Design and build efficient, reliable data transformations for reporting, growth analysis, and multi-dimensional analytics
- Design and implement scalable, robust, and extensible big data systems that support core products and experimentation use cases
- Build and evolve platform services covering the full A/B testing lifecycle: experiment design, metrics computation, statistical analysis, evaluation, and launch decisions
- Apply strong engineering practices and system design principles to create maintainable, high-quality systems used by both engineers and non-technical users
- Collaborate closely with product managers, data scientists, and partner teams to translate business problems into technical solutions
- Explore and integrate LLM-based capabilities to improve platform intelligence, usability, and developer/product workflows
Qualifications
Minimum Qualifications
- BS or MS degree in Computer Science or a related technical field, or equivalent practical experience
- Strong back-end engineering skills
- Experience with big data technologies such as Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, or Flink
- Experience with data analysis, data ingestion, and data integration
- Solid communication and collaboration skills
Preferred Qualifications
- Industry experience building large-scale distributed systems in a production environment
- Experience with ETL pipelines, data system architecture, schema design, and data modeling
- Experience with front-end development and/or distributed big data systems (strong plus)
- Experience in data privacy and security-related projects
- Hands-on experience or strong interest in LLMs, including applying them to real product or platform use cases
- Strong statistical foundations and familiarity with experimentation or A/B testing concepts
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $162000 - $387600 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.
Team Introduction
Our mission in experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decision for the products. The supported scenarios include recommendation, push, ads, search, mobile app, UI interaction and service upgrades etc.
Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.
As a software engineer in experimentation and evaluation team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
- Design and build efficient, reliable data transformations for reporting, growth analysis, and multi-dimensional analytics
- Design and implement scalable, robust, and extensible big data systems that support core products and experimentation use cases
- Build and evolve platform services covering the full A/B testing lifecycle: experiment design, metrics computation, statistical analysis, evaluation, and launch decisions
- Apply strong engineering practices and system design principles to create maintainable, high-quality systems used by both engineers and non-technical users
- Collaborate closely with product managers, data scientists, and partner teams to translate business problems into technical solutions
- Explore and integrate LLM-based capabilities to improve platform intelligence, usability, and developer/product workflows
Minimum Qualifications
- BS or MS degree in Computer Science or a related technical field, or equivalent practical experience
- Strong back-end engineering skills
- Experience with big data technologies such as Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, or Flink
- Experience with data analysis, data ingestion, and data integration
- Solid communication and collaboration skills
Preferred Qualifications
- Industry experience building large-scale distributed systems in a production environment
- Experience with ETL pipelines, data system architecture, schema design, and data modeling
- Experience with front-end development and/or distributed big data systems (strong plus)
- Experience in data privacy and security-related projects
- Hands-on experience or strong interest in LLMs, including applying them to real product or platform use cases
- Strong statistical foundations and familiarity with experimentation or A/B testing concepts
Team Introduction
Our mission in experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decision for the products. The supported scenarios include recommendation, push, ads, search, mobile app, UI interaction and service upgrades etc.
Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.
As a software engineer in experimentation and evaluation team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
- Design and build efficient, reliable data transformations for reporting, growth analysis, and multi-dimensional analytics
- Design and implement scalable, robust, and extensible big data systems that support core products and experimentation use cases
- Build and evolve platform services covering the full A/B testing lifecycle: experiment design, metrics computation, statistical analysis, evaluation, and launch decisions
- Apply strong engineering practices and system design principles to create maintainable, high-quality systems used by both engineers and non-technical users
- Collaborate closely with product managers, data scientists, and partner teams to translate business problems into technical solutions
- Explore and integrate LLM-based capabilities to improve platform intelligence, usability, and developer/product workflows
Qualifications
Minimum Qualifications
- BS or MS degree in Computer Science or a related technical field, or equivalent practical experience
- Strong back-end engineering skills
- Experience with big data technologies such as Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, or Flink
- Experience with data analysis, data ingestion, and data integration
- Solid communication and collaboration skills
Preferred Qualifications
- Industry experience building large-scale distributed systems in a production environment
- Experience with ETL pipelines, data system architecture, schema design, and data modeling
- Experience with front-end development and/or distributed big data systems (strong plus)
- Experience in data privacy and security-related projects
- Hands-on experience or strong interest in LLMs, including applying them to real product or platform use cases
- Strong statistical foundations and familiarity with experimentation or A/B testing concepts
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $162000 - $387600 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
ResponsibilitiesTeam Introduction
Our mission in experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decision for the products. The supported scenarios include recommendation, push, ads, search, mobile app, UI interaction and service upgrades etc.
Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.
As a software engineer in experimentation and evaluation team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
- Design and build efficient, reliable data transformations for reporting, growth analysis, and multi-dimensional analytics
- Design and implement scalable, robust, and extensible big data systems that support core products and experimentation use cases
- Build and evolve platform services covering the full A/B testing lifecycle: experiment design, metrics computation, statistical analysis, evaluation, and launch decisions
- Apply strong engineering practices and system design principles to create maintainable, high-quality systems used by both engineers and non-technical users
- Collaborate closely with product managers, data scientists, and partner teams to translate business problems into technical solutions
- Explore and integrate LLM-based capabilities to improve platform intelligence, usability, and developer/product workflows
Qualifications
QualificationsMinimum Qualifications
- BS or MS degree in Computer Science or a related technical field, or equivalent practical experience
- Strong back-end engineering skills
- Experience with big data technologies such as Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, or Flink
- Experience with data analysis, data ingestion, and data integration
- Solid communication and collaboration skills
Preferred Qualifications
- Industry experience building large-scale distributed systems in a production environment
- Experience with ETL pipelines, data system architecture, schema design, and data modeling
- Experience with front-end development and/or distributed big data systems (strong plus)
- Experience in data privacy and security-related projects
- Hands-on experience or strong interest in LLMs, including applying them to real product or platform use cases
- Strong statistical foundations and familiarity with experimentation or A/B testing concepts
Additional Information
- Salary: $162,000 – $387,600
- Posted: Jul 24, 2024