Staff Machine Learning Engineer

Join the Personalization team at Spotify and contribute to designing, scaling, and building reward signals for recommendations by hands-on ML development. The team is passionate about understanding what drives user satisfaction with Spotify and making impactful changes to Home recommendation systems. You will collaborate with research scientists, data scientists, and other engineers to prototype and productize state-of-the-art ML at the intersection of recommendations and long-term user satisfaction.

Requirements

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
• Promote and role-model best practices of ML systems development, testing, evaluation, etc.
• Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems

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