Jobs

Are you an experienced data scientist who has worked on recommendation engines before? Come join us as we continue building out our data platform and machine learning architecture on Microsoft Azure.

Get ready to:

• Refine our machine learning algorithms and models for recommendation engines with multi-modal feedback.
• Solve problems related to discovering user preferences efficiently and delivering relevant rankings rapidly
• Experiment and build new algorithmic capabilities from the ground up
• Glue together disparate production systems to make your model work in real-time applications
• Collaborate with multiple teams and functions

Love building our database architectures and data pipelines that enable teams to leverage insights? This hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow on Microsoft Azure.

Get ready to:

• Create and maintain optimal data pipeline architecture.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure databases.
• Build analytics tools that helps us analyze and optimize the data pipeline to provide actionable insights for our recommendation engine.
• Work with the founders and our board of directors to identify and refine our strategic data architecture. 
• Help us uphold our data privacy promise and comply with GDPR.

We are looking for an experienced practitioner in machine learning to help us extract value from our data. You will be working closely with the data engineer and data scientist to refine our data architecture, algorithms, and data models being deployed in production on Microsoft Azure.