Machine Learning Engineer, Data Mining (Ads Core)

TikTok Inc.; San Jose (CA); Presencial; USD 162.000 - 388.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Descripción de la vacante

TikTok Inc. is seeking a Senior Data Engineer to join the Monetization Technology team in San Jose, CA. You will own critical data pipelines, data governance, and audience targeting capabilities to support ads and measurement across the platform.

The role requires 3+ years in data engineering, strong SQL and Big Data experience (Spark, Kafka, Airflow), and proficiency in Java/Scala/Python. We offer competitive compensation and comprehensive benefits.

Formación

• BS+ in CS/SE/Data Engineering or related field.
• 3+ years in data engineering/platform roles.
• Strong SQL and data modeling.
• Proficient in Java/Scala/Python.
• Strong ownership of data governance, quality and stability.
• Effective cross-functional communication and execution.

Responsabilidades

• 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
• Collaborate with ML/product/compliance to ensure stable production rollout and iterative improvements (performance/reach/cost/UX)

Conocimientos

SQL

Data modeling

Cross-functional communication

Java/Scala/Python

Educación

BS+ in CS/SE/Data Engineering or related fields

Herramientas

Spark

Hive

Kafka

Flink

Airflow

Descripción del empleo

Responsibilities

Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. 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)

Qualifications

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)

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.