Privacy Preserving Ml Developer Jobs

1 job found

3d ago

TikTok San Jose, CA

San Jose, CA

3d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Distributed Training

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.

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

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

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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