Machine Learning Engineer, Data Mining; Ads Core

Responsibilities

Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like Tik Tok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.

What You'll Do:

• Own foundational targeting data and platform capabilities with high availability, accuracy, freshness, and scalability:
• Base targeting dimensions: gender, age, geo, device, language, network, etc.
• Audience & tagging system: definitions, hierarchy, refresh strategy, backfills, cross-device unification
• Design and implement large-scale batch/stream pipelines: ingestion, ETL, aggregation, profile generation, tag updates, external serving
• Build a reliable data quality framework: validation, lineage, monitoring/alerting, SLAs, automated backfill and repair
• Provide standardized capabilities for ads delivery/strategy systems:
• Audience package generation/management, tag query services, foundational targeting rule engine, access control & auditing
• Collaborate with ML/product/compliance to ensure stable production rollout and iterative improvements (performance/reach/cost/UX)

Minimum Qualifications:

• BS+ in CS/SE/Data Engineering or related fields
• 3+ years (adjustable) in data engineering/platform roles; able to own critical pipelines end-to-end
• Strong SQL and data modeling; hands-on with big data stack (Spark/Hive/Kafka/Flink/Airflow, etc.)
• Proficient in Java/Scala/Python; solid engineering and performance tuning skills
• Strong ownership of data governance, definitions, quality and stability
• Effective cross-functional communication and execution

Preferred Qualifications:

• Experience in ads/recommender data platforms: user profiles, tagging, audience segmentation, DMP/CDP
• Real-time profile or low-latency serving at scale (high QPS, caching/consistency)
• Privacy/compliance implementation experience (minimization, anonymization, access control, auditing)

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok'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.

Inspiring creativity is at the core of Tik Tok'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.

Tik Tok 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 Tik Tok, 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.

Tik Tok is…