Machine Learning Engineer, Commerce Ads Ranking

TikTok seeks a Machine Learning Engineer for Commerce Ads Ranking in San Jose, CA on-site, with a yearly salary range of USD 156,000 - 316,800.

Responsibilities

• Enhance ads delivery models across recall to ranking, covering feature engineering, model architecture, automated feature crossing, cold-start handling, delayed feedback modeling, multi-task learning, and sequence modeling
• Co design algorithms and system components for retrieval, sample mining, and processing of long sequences
• Investigate and build scalable distributed training pipelines, including GPU tuning, feature processing, and synchronous training, with privacy-preserving considerations to boost delivery efficiency
• Develop next generation recommendation systems within an LLM driven framework, including entity understanding, end-to end Generative Recommendation, sequence only recommendations, and Mixture of Export

Requirements

• Strong coding skills in C++ and Python, with solid data structures and algorithms fundamentals
• Solid foundation in machine learning and familiarity with common models such as FM, LR, GBDT, DNN, and Wide & Deep
• Excellent learning agility, collaborative mindset, and strong analytical and problem solving abilities; publications in KDD, NeurIPS, SIGIR, or related ML/data mining competitions are a plus
• Bachelor’s degree or higher in computer science or a related field

Technologies

• C++, Python
• LLM

Benefits

• Medical, dental, and vision insurance from day one
• 401(k) plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance and wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time, prorated at hire with tenure-based accruals
• Eligible for discretionary bonuses or incentives
• Restricted stock units

Los Angeles County Candidates

• Interacting with internal or external clients and colleagues, occasionally with unsupervised contact
• Managing confidential information including proprietary data and access to IT systems
• Exercising sound judgment in decision making