Machine Learning Engineer

Key Skills

Apache Beam, Computer Vision (CV), Data Analysis, Data pipelines, Data science techniques, Design, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scala Programming, SPARK Programming, TensorFlow

Job Description

At Spotify, we’re proud of our ambitious mission of having 1 billion fans enjoying music around the world, and are seeking machine learning engineers to join us in pursuit of this goal. Our team leverages machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad to the right user at the right time, while embodying Spotify’s values and taking our users’ best interest at heart. 

What You'll Do

• Build production systems that personalize our listeners’ experience of ads on 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
• You have some hands-on experience implementing or prototyping machine learning systems at scale in Java, Scala, Python, or similar languages
• Experience with ad tech, NLP, Computer Vision, or audio signal processing 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