Ads ML Engineer: Growth & Ranking Innovator

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 137,000 - 360,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) match
Parental leave
Disability coverage
Life insurance
Wellbeing benefits
Holidays

Job summary

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer/Data Scientist to advance shop ads performance on the TikTok platform. You will build scalable ML models, experiment with new features, and collaborate with product teams on next-generation shopping experiences.

This role emphasizes advertising optimization, data-driven decision making, and cross-functional teamwork. Applicants should have strong Python/SQL skills, experience with big data frameworks, and a solid foundation in

Qualifications

  • Proficient in SQL and Python with experience in data manipulation.
  • Strong understanding of machine learning concepts including feature engineering and model evaluation.
  • Experience with big data processing frameworks (Hadoop, Spark) and distributed computing for large datasets.
  • Solid analytical and problem-solving skills for complex and unstructured data.
  • Master's or advanced degree in CS/DS/STATS or related field preferred.

Responsibilities

  • Build scalable ML systems and models to improve ad ranking quality and advertiser strategies.
  • Explore, develop and experiment with new features to improve model accuracy.
  • Understand ads platform objectives and use ML to enhance ads relevance and delivery.
  • Collaborate with Global teams, Product Managers, Designers, and other disciplines on next-gen shopping experiences.

Skills

SQL
Python
Data manipulation
Machine learning
Analytical thinking

Education

Master's or advanced degree in CS/DS/STATS

Tools

Hadoop
Spark
Distributed computing

Job description

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer/Data Scientist to advance shop ads performance on the TikTok platform. You will build scalable ML models, experiment with new features, and collaborate with product teams on next-generation shopping experiences.

This role emphasizes advertising optimization, data-driven decision making, and cross-functional teamwork. Applicants should have strong Python/SQL skills, experience with big data frameworks, and a solid foundation in

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