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Senior Machine Learning Engineer (Recommendation Systems)

  • Location

    San Francisco

  • Sector:

    Software Engineering

  • Contact:

    Jaime Shannon

  • Contact email:

    jaime@intelletec.com

Our Client uses machine learning to deliver wellness content personalized to their emotions, improving people’s mental wellness throughout the day.

 

 

Just launched last year, they were voted "#1 New App & Best of 2017" as well as “#1 Trending App (2018)” by Apple

 

 

Backed by top VC’s such as Reach Capital, Cowboy Ventures, Sequoia Scout Fund, and 1517 Fund, angels such as CEO of Life360 and CPO of WeWork, and UC Berkeley’s SkyDeck Accelerator.

 

 

Responsibilities

 

As one of the first key team members at the company, you will be working directly with the co-founders and the core team to own Aura's emotion-based recommendation system and drive mission-critical, high-impact changes in our main application.

 

 

Requirements

  • Experience with Recommendation systems
  • 3+ years as a full-time machine learning engineer working on recommendation systems as a core product feature
  • Own the core recommendation system and from algorithm to infrastructure 
  • Build and lead the data science & engineering team as the team grows