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About the Role
The Music Mission team focuses on Spotify’s end-to-end proposition for music creators and their fan experiences, building tools for creation, promotion, expression, and monetization. The DISCO Product Area specifically develops promotional tools to help artists reach more fans, building on the success of Discovery Mode to connect artists with new listeners. As a Staff Machine Learning Engineer, you will influence the Machine Learning technical strategy for this key area, collaborating across functions to create tools that foster artist audience growth and support Spotify's business objectives.
Responsibilities
- Define and drive the Machine Learning engineering strategy for Discovery Mode and related royalty programs.
- Translate product goals into scalable technical solutions.
- Design, build, evaluate, ship, and refine production Machine Learning systems.
- Provide technical leadership for complex ML initiatives.
- Make thoughtful architectural and engineering decisions.
- Collaborate with user research, design, data science, product management, and engineering.
- Build new product capabilities that strengthen artist-fan connections.
- Prototype new approaches and develop reliable, scalable solutions for Spotify for Artists.
- Drive experimentation, optimization, testing, and tooling for ML systems.
- Partner with engineers and ML practitioners across Spotify.
- Explore and develop new approaches to music promotion.
- Grow the technical capabilities of the engineering community through mentorship and knowledge sharing.
Requirements
- Deep experience with Machine Learning and a strong understanding of ML algorithms, modeling approaches, evaluation, and experimentation.
- Hands-on experience designing and implementing production Machine Learning systems at scale.
- Proficiency in languages such as Python, Java, Scala, or similar.
- Ability to set technical direction for complex ML problems while staying close to implementation and delivery.
- Commitment to reliable software, data-informed development, disciplined experimentation, and scalable systems.
- Experience leading technically complex projects from concept to production.
- Comfort navigating ambiguity and evaluating trade-offs.
- Ability to create clarity on high-impact initiatives.
- Skill in communicating technical decisions and risks clearly.
- Ability to build alignment with senior technical leaders and cross-functional partners.
- Passion for creating products that serve artists and their teams.
- Collaborative, team-first approach.
Skills
- Machine Learning
- ML algorithms
- ML modeling
- ML evaluation
- ML experimentation
- Production Machine Learning systems
- Python
- Java
- Scala
- Software reliability
- Data-informed development
- Disciplined experimentation
- Scalable systems
Location
- North America region
Work Type
- Remote
Experience Level
- Staff
Salary/Compensations
- $227,495.00 - $324,993 USD
Benefits
- Equity
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- Paid flexible holidays
- Paid sick leave
About the Company
- Spotify transformed music listening forever when we launched in 2008.
- Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.
- Everything we do is driven by our love for music and podcasting.
- Today, we are the world’s most popular audio streaming subscription service.
Equal Opportunity
- Spotify is an equal opportunity employer.
- You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones.
- Our platform is for everyone, and so is our workplace.
- The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!
- So bring us your personal experience, your perspectives, and your background.
- It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
- At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
- We have ways to request reasonable accommodations during the interview process and help assist in what you need.
- If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.