Описание вакансии
Обязанности
•Apply statistics and programming to model development
•Build large scale e commerce recommendation algorithms and systems
•Build real-time data pipelines
•Create debugging tools for machine learning systems
•Design data extraction transformation and loading pipelines
•Design develop evaluate and iterate predictive models
•Develop user interest models
•Perform feature engineering and model optimization
•Resolve bugs in deployed models
•Run experiments to test deployed model performance
•Support production scalable machine learning models
•Work with model deployment software platforms
Технологии: Boosting trees, C plus plus, Collaborative Filtering, Data Mining, Data Pipelines, Data Processing, Deep Neural Networks, Experimentation, Factorization machines, Feature Engineering, Gradient Boosting Trees, Gradient boosting, Information Retrieval, Language Processing, Logistic Regression, Machine Learning, Matrix Factorization, Natural Language, Natural Language Processing, Neural Networks, PyTorch, Python, Real Time, Real-time Data, Real-time Data Processing, Recommendation Systems, TensorFlow, Wide and Deep, Word2Vec