Senior Machine Learning Engineer

Key Skills

Apache Beam, AWS, C++, Data Analysis, Data science techniques, Design, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scala Programming, SPARK Programming, SQL, TensorFlow

Job Description

Have you ever had a debate at a party about who originally wrote a song versus who covered it? Tried to find a sample you loved more than the song you heard it in? Wondered who was actually in the recording booth for your favorite song (on both sides of the glass)? Wonder what Britney Spears, Nsync, Pink, Katy Perry, Taylor Swift, and The Weeknd all have in common? (The same songwriter wrote Billboard number-one singles for all of them). Who gets paid every time we sing “Happy Birthday”? 

Music attribution at scale is one of the great unsolved technical problems of the music industry, and we’re building cutting-edge technology to solve it. Our goal is to solve this problem for the more than 60 million music tracks playable on Spotify, building a knowledge graph through cutting-edge machine learning models, deep subject matter expertise, and close integration with human-in-the-loop processes across Spotify and the industry. Content Platform’s catalog data powers Spotify experiences from Artist pages in the app, search and recommendations, human playlist curation, Spotify for Artists, and our music industry strategy. 

Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry.

We are looking for a Senior Machine Learning Engineer to help us define and build Spotify’s capabilities in this area. Our team expands the state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog.

What You'll Do

• Build production systems that enrich and improve our listeners’ experience on the platform
• Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
• 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
• Perform data analysis to establish baselines and inform product decisions
• Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features

Who You Are

• You have professional experience in applied machine learning
• Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)
• You have some hands-on experience implementing or prototyping machine learning systems at scale
• You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark.
• Experience with NLP is a plus
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You have experience and passion for fostering collaborative teams
• Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus
• Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus