Machine Learning Engineer, TikTok Brand Ads
San Jose, California, United States
USD 194K-355K (estimate) Senior-level Full Time
Tasks
- Align cross modal brand ads and content
- Build cross modal ad representations
- Build large scale indexing and retrieval systems
- Create content understanding pipelines
- Deploy and optimize model inference for production
- Develop multimodal LLM models
- Enable vector level matching and filtering
- Improve ads ranking and retrieval performance
- Model video semantic meaning
- Optimize training with embedding distillation
- Optimize training with hard negative mining
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Data Analysis | Data Mining | Deep learning | Distributed Systems | Embedding distillation | Go | Hard Negative Mining | Inference Optimization | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Training | Multimodal Learning | NLP | Natural Language | Natural Language Processing | Negative mining | Online Deployment | Python | Ranking Systems | Recommendation Systems | Search Systems | Vector embeddings
Education
Regions
Countries
States
Cities
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