Facebook pixel

Machine Learning Engineer
Personalization
Posted on 5/26/2022
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Data Science
Data Structures & Algorithms
Java
Management
Research
Scala
Tensorflow
Python
Requirements
  • You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
Responsibilities
  • Design, build, evaluate, ship, and refine Spotify's product by hands-on ML development
  • Collaborate with a cross functional agile team spanning research, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
  • Help drive optimization, testing, and tooling to improve quality
  • Be part of an active group of machine learning practitioners across Spotify, collaborating with one another
Desired Qualifications
  • Experience with contextual bandits, causal ML, deep learning, or reinforcement learning is a plus
Spotify

5,001-10,000 employees

Leading music and podcast streaming platform
Company Overview
Spotify's mission is to unlock the potential of human creativity — by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Today, Spotify is the world’s most popular audio streaming subscription service with 406m users, including 180m subscribers, across 184 markets.
Benefits
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Global parental leave, six months off - fully paid - for all new parents
  • Flexible public holidays, swap days off according to your values and beliefs
  • Flexible share incentives letting you choose how you share in our success
  • All The Feels, our employee assistance program and self-care hub
  • Spotify On Tour, join your colleagues on trips to industry festivals and events
Company Core Values
  • Innovative: We move fast and take big risks
  • Sincere: We have no time for internal politics
  • Passionate: We revel in what we do
  • Collaborative: We recognize that we're all in this together
  • Playful: We don't take ourselves too seriously