Senior Machine Learning Engineer

Summary

Join the Safe-and-Sound team at Spotify and contribute to the safety and enjoyment of millions of listeners. You will design, build, and evaluate machine learning (ML) solutions for safety in Spotify's personalization products. Collaboration with cross-functional teams is key, as is prototyping new approaches and scaling solutions for hundreds of millions of users. You will promote best practices in ML systems development and be part of a collaborative community of ML practitioners. This role offers flexibility in work location within the Americas and a competitive salary and benefits package.

Requirements

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
• Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
• Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

Responsibilities

• Design, build, evaluate, and ship ML solutions for safety in Spotify’s personalization products
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another

Preferred Qualifications

Experience with Pytorch, TensorFlow, Scikit-learn etc

Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave