Remote Machine Learning Engineer II, Personalization

Description:

• The Personalization teams at Spotify focus on enhancing user experience by making music and podcast recommendations easier and more enjoyable.
• The team is responsible for features like Daily Mix and Discover Weekly, utilizing deep understanding of music and podcasts.
• The Machine Learning Engineer II will work on recommending content based on users' listening history, utilizing real-time predictions from machine learning models.
• The team is migrating its training infrastructure to Ray and aims to innovate to increase user engagement on the platform.
• Responsibilities include designing, building, evaluating, and shipping machine learning solutions for personalization products.
• The role involves collaboration with cross-functional teams including user research, design, data science, product management, and engineering.
• The engineer will prototype new approaches and scale solutions for hundreds of millions of active users.
• The position requires promoting best practices in machine learning systems development and being part of a collaborative group of machine learning practitioners.

Requirements:

• Candidates must be experienced machine learning practitioners with a motivation to tackle complex real-world problems in a collaborative environment.
• A strong background in machine learning, natural language processing, and generative AI is required, with practical application experience.
• Hands-on expertise in implementing end-to-end production machine learning systems at scale using languages such as Java, Scala, or Python is essential.
• Experience with machine learning frameworks like Pytorch, TensorFlow, and Scikit-learn is a strong plus.
• Candidates should have experience designing end-to-end tech specifications and modular architectures for machine learning frameworks in collaboration with product teams.
• Familiarity with large-scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms such as GCP or AWS is necessary.

Benefits:

• The position offers a competitive salary range of $138,250 to $197,500, plus equity.
• Employees receive health insurance and a six-month paid parental leave.
• A 401(k) retirement plan is available to help employees save for the future.
• A monthly meal allowance is provided to support employees' dining needs.
• Employees enjoy 23 paid days off and 13 paid flexible holidays each year.
• Paid sick leave is also included as part of the benefits package.