Overview

Unata is looking for an engineer to help scale our platform to support millions of shoppers across multiple retail partners around the globe. You’ll work with our team of developers and data scientists to build solutions that power slick mobile and web applications, personalized content services, and robust integrations with retailer data systems.

TLDR; we want you to help us experiment, build and iterate on our machine learning technology while being a kickass engineer.

Requirements

• Solid grasp of computer science concepts: data structures, algorithms, and programming paradigms. We are very keen on implementing red-black trees here at Unata.
• Excellent understanding of machine learning systems.
• Understands and implements engineering best practices: automated testing, version control systems, documentation, continuous integration, duct tape redundancy, etc.
• Feels at home (cd ~) in a Unix development environment.
• Can clearly communicate complex technical concepts.
• Has built and shipped real software. You know… flappy bird clones… all that jazz.
• Can demonstrate and talk about their willingness to learn new things. Like that new reactive microservice framework everyone’s been deploying on docker lately.

Bonus Points!

• Degree in Machine Learning, Software Engineering, Computer Science, etc.
• Experience in Machine Learning and Statistics
• Familiarity with the academic literature on Recommendation Systems
• Experience with the following technologies (C-c-c-c-Combo Breaker!):
  • Python (+ for Flask, SQLAlchemy, Celery)
  • RDBMS (+ for PostgreSQL)
  • Cassandra
  • Memcached
  • Redis
• Cool personal projects on github or other places
• Oh! And a willingness to be the greatest ping pong player in the world (or the office)