About the role

The Machine Learning and Personalization (MLP) team is responsible for building a thoroughly thought out architecture for data ingestion, feature engineering, model building, and productionalization. You will be expected to work on all parts of the machine learning pipeline and data lake infrastructure. We currently have a wide array of ML problems including computer vision (including generative algorithms), natural language processing, anomaly/fraud detection, recommendations, and personalization. As the newest team at StockX we have a large amount of autonomy and freedom to build a top notch machine learning system that will allow us to test hypotheses and iterate on models with agility. Come be a part of the next stage for StockX as we take our first steps into the world of machine learning and artificial intelligence.

What you'll do

• Discover data sources suitable to solve business problems
• Build data pipelines for ingestion into data lake 
• Build models and tune hyperparameters to solve relevant business problem
• Productionalize model code into Scala
• Deploy endpoints for use by services and front end teams
• Perform A/B testing of models in production
• Work effectively in an agile development process

About you

• Experience with object-oriented or functional software development
• Experience working with AWS or other cloud providers
• Experience with big data platforms like Spark
• Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet
• Experience with linear algebra libraries such as Breeze, Pandas, or Numpy
• You have dealt with data exploration, analysis, and feature engineering
• You can architect data pipelines for moving and enriching data
• You have relentlessly high standards for the products you deliver