Senior Software Engineer, Data Platform - Experimentation & Evaluation

TikTok; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Job summary

TikTok is seeking a software engineer for the experimentation and evaluation team in San Jose, CA. You will help build one of the world's largest data platforms and enable data-driven decisions across ads, recommendations, search, and mobile apps.

You will design scalable data transformations and platform services for the full A/B testing lifecycle. Collaborate with product managers, data scientists, and partner teams to translate business problems into robust engineering solutions, while

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.

Responsibilities

• 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.

Skills

Back-end engineering

Big data technologies

Data analysis

Communication skills

BS/MS in CS

Education

BS or MS in Computer Science

Tools

Hadoop

Spark

Hive

Presto

Kafka

Job description

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

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 https://tinyurl.com/RA-request

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:

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;
3. Exercising sound judgment.