Machine Learning Engineer Intern (Search Ads) - 2027 Summer
San Jose, California, United States
USD 113K-250K (estimate) Entry-level Internship
Tasks
- Analyze advertising datasets
- Build seq2seq models
- Build text photo video multimodal models
- Collaborate with product managers on strategy and features
- Develop large-scale ads system
- Develop ranking strategies
- Estimate CTR CVR models
- Implement active learning
- Implement ads traffic control
- Implement query classification
- Improve NLP for query understanding
- Optimize bidword selection
- Optimize relevance model and strategy
- Perform Named Entity Recognition
- Perform feature engineering
- Research Ads pacing algorithms
- Train semantic matching models
- Use knowledge graph techniques
Perks/Benefits
Skills/Tech-stack
Active Learning | C++ | CTR modeling | CVR Modeling | Data Analysis | Entity recognition | Feature Engineering | Go | Information Retrieval | Knowledge graphs | Language Processing | MXNet | Machine Learning | Multimodal Learning | Named Entity Recognition | Natural Language | Natural Language Processing | PyTorch | Python | Query Understanding | Ranking | Semantic Matching | Sequence to sequence | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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