Founding ML Engineer

Responsibilities:

• Design core recommendation engine to facilitate discovery of products for our users. We believe that fashion platforms have very little user personalization. Your responsibility would be to build on these models 
• Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently
• Responsible for building end to end automated pipelines for AI/ML models in production including model development, model validation, model refit, model recalibration, model monitoring and model serving etc.
• Identify opportunities to enhance personalization capabilities by diving deep into consumer and client needs
• Conduct A/B tests and experiments to iterate and fine-tune algorithms and models
• Lead end to-end deployment and maintenance of machine learning models in production, from concept, design, implementation, to rollout, ensuring the highest quality and performance
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
• Design and build supporting/debugging tools as needed
   

Minimum Qualifications:

• Master's degree or higher in Computer Science or related fields.
• Strong fundamentals in problem solving, algorithm design, programming and complexity analysis
• Deep experience in applied machine learning, familiar with one or more of the algorithms such as Content Filtering, Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
• Experience in Deep Learning Tools such as tensorflow/pytorch.
• Experience with at least one programming language like C++/Python or equivalent.
• Preferred Qualifications:
  • Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.