The opportunity
The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
What you'll do
Help define and drive the Machine Learning engineering strategy for Discovery: Mode and related royalty programs, translating product goals into scalable technical solutions.
Design, build, evaluate, ship, and refine production Machine Learning systems through hands-on development.
Provide technical leadership across complex ML initiatives, helping teams: make thoughtful architectural and engineering decisions while balancing near- and long-term priorities.
Collaborate with user research, design, data science, product management, and: engineering to build new product capabilities that strengthen connections between artists and fans.
Prototype new approaches and turn successful ideas into reliable, scalable: solutions for Spotify for Artists customers.
Drive experimentation, optimization, testing, and tooling that improve the: quality, reliability, and effectiveness of our Machine Learning systems.
What they're looking for
- You have deep experience with Machine Learning and a strong understanding of: Machine Learning algorithms, modeling approaches, evaluation, and experimentation.
- You have hands-on experience designing and implementing production Machine: Learning systems at scale using languages such as Python, Java, Scala, or similar.
- You can set technical direction for complex ML problems while remaining close to implementation and delivery.
- You care about reliable software, data-informed development, disciplined: experimentation, and building systems that perform effectively at scale.
- You enjoy leading technically complex projects from idea through production: and working closely with teammates and partners to deliver meaningful outcomes.
- You are comfortable navigating ambiguity, evaluating trade-offs, and creating: clarity on high-impact initiatives.
- You communicate technical decisions and risks clearly and can build alignment: with senior technical leaders and cross-functional partners.
- You care about creating products that better serve artists and their teams,: and you take a collaborative, team-first approach to helping others do their best work.
