Machine Learning Engineer Graduate (Ads Targeting)- 2027 Start
San Jose, California, United States
USD 113K-250K (estimate) Entry-level Full Time
Tasks
- Build user modeling features
- Collaborate to productionize ML models in ads delivery stack
- Design auto targeting selection and expansion
- Develop ads targeting algorithms
- Implement explore exploit strategies
- Implement lookalike modeling retrieval and ranking
- Perform online A B testing analysis
- Support offline training and evaluation pipelines
- Track and troubleshoot CTR CVR CPA ROAS
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Flink | Apache Hive | Apache Spark | Approximate Nearest Neighbors | B testing | C++ | Causal Inference | Decision Trees | Deep learning | Feature Engineering | Go | Gradient boosting | Gradient boosting decision trees | Hyperparameter Tuning | Information Retrieval | Language Models | Large Language Models | Learning-to-Rank | Logistic Regression | Machine Learning | Model Evaluation | Multi-Objective Optimization | Nearest neighbors | Neural Networks | Objective optimization | Pandas | PyTorch | Python | Recommender Systems | Regularization | SQL | TensorFlow | Vector Search
Education
Regions
Countries
States
Cities
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