As a machine learning engineer, you will be part of our Applied AI and Machine Learning team. You will work alongside other scientists and engineers in a collaborative environment, contributing features and machine learning models to our core recommender systems and our DaVinci Personalization product.  This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves.

Responsibilities:

• Generate insights into customer behavior and derive modeling ideas for improving our content recommender system
• Work with data engineers to define what additional customer data we might want to collect and help make it available in a format suitable for modeling purposes
• Create meaningful machine-learning features that improve our content recommender’s performance measured through offline metrics and online  a/b tests
• Build machine learning models and deploy them as part of our recommender system

Qualifications:

• Master’s degree or equivalent experience (2+ years)  in a relevant field or industry
• Solid understanding of machine learning fundamentals
• High comfort level in Python or other programming language
• Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch)
• Familiarity with data analysis through SQL or a big-data processing framework such as Spark
• Ability to collaborate with technical partners – you’ll be working closely with other teams to determine requirements for your work and to make design decisions that affect our stack 
• The idea of writing  and deploying production code, and getting real-world feedback on your models excites you
• A desire to always be learning and contributing to a collaborative environment