Machine Learning Engineer, Commerce Ads Ranking
Job Description
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
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