Machine Learning Engineer Intern (Lead Ads) - 2026 Summer (BS/MS)
San Jose, California, United States
USD 113K-250K (estimate) Entry-level Internship
Tasks
- Build relevance model and optimization strategy
- Define product strategy and features with product teams
- Develop large-scale ads system
- Estimate CTR/CVR model accuracy
- Improve NLP capability and query understanding
- Iterate ads algorithms using machine learning
- Perform data analysis modeling and feature engineering
- Research and develop ads pacing algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | C++ | Computer Vision | Data Analysis | Deep learning | Entity recognition | Feature Engineering | Go | Language Processing | Linux | MXNet | Machine Learning | Named Entity Recognition | Natural Language | Natural Language Processing | PyTorch | Python | Ranking | Recommendation Systems | Search Algorithms | Sequence to sequence | Statistics | TensorFlow
Education
Regions
Countries
States
Cities
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