Related skills
bigquery sql python pandas tensorflow📋 Description
- Algorithm development for ranking and NLP models.
- Data science and strategy: analyze user behavior and catalog data.
- Experimentation: run A/B tests to measure impact.
- Model prototyping: build Python prototypes and deploy with MLEs.
- Collaboration: align with MLEs, Catalog, and Recommendations teams.
- Innovation: apply IR/ML advances to improve discovery.
🎯 Requirements
- Graduate in Machine Learning, IR, DS, NLP or related fields.
- Strong knowledge of Learning to Rank and IR basics.
- Python stack: Pandas, Scikit-learn, PyTorch/TensorFlow, PySpark.
- Data fluency: SQL, BigQuery, Spark SQL for training data.
- Engineering: clean code; microservices (FastAPI/Flask); ES/Solr a plus.
- Scientific mindset: rely on data and experiments.
🎁 Benefits
- Health insurance for the whole family.
- Extra days off, sabbatical program.
- Training opportunities and Udemy access.
- Flexible benefits program.
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