Senior Staff Machine Learning Engineer, Spotify
Agentic Systems
$281.2-401.7k
Salary range applies to the US only. Offers equity
More information about location
Commercial music streaming service
Job no longer available
Commercial music streaming service
1001+ employees
Job no longer available
$281.2-401.7k
Salary range applies to the US only. Offers equity
More information about location
1001+ employees
Company mission
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 opportunity to enjoy and be inspired by it
Role
Who you are
- You have experience building and scaling production AI systems, including systems powered by large language models
- You are comfortable working across system design, infrastructure, and machine learning concepts, and enjoy connecting these areas
- You have experience with areas such as agent orchestration, LLM infrastructure, evaluation systems, or data pipelines for machine learning
- You have worked on platform or consolidation efforts that bring multiple systems or teams together
- You are able to make progress in ambiguous problem spaces and bring structure to open-ended challenges
- You communicate clearly and work well with engineering, product, and research partners across different levels of the organization
- You stay informed on developments in AI and are motivated to apply new ideas in practical ways
- You take a pragmatic approach to building, using prototypes and iteration to move ideas forward
- You take ownership of outcomes and proactively manage risks, trade-offs, and expectations
What the job involves
- Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform
- Generative AI is reshaping how we build products and systems. As part of this shift, we’re creating a shared Agent Engine that powers agent-based experiences across Spotify. You’ll join a cross-functional group of engineers, researchers, and product partners working at the intersection of distributed systems, machine learning, and user experience to shape how millions of listeners interact with audio every day
- Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform
- Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints
- Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more
- Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence
- Partner with research and machine learning teams to define what belongs in system design versus model capabilities
- Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale
- Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization
- Contribute to technical standards that help teams move faster while maintaining security and reliability
- Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products
Our take
Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.
With features that include a highly accessible interface and a vast catalogue of artists, Spotify's strong brand has been able to maintain growth in spite of fierce competition from deep-pocketed rivals like Amazon and Apple. The company has achieved this by making smart acquisitions to move into other verticals to strengthen its offerings, especially podcasting, by acquiring Gimlet Media, Anchor and Parcast.
Spotify's future plans include rapid growth with a goal to become a one-stop destination for all digital sound, as well as AI and NFT integrations. However, high costs incurred from the acquisition of exclusive podcasts, increasing competitor strength, and weak bottom-line growth mean that the company must find a balance to maintain its position in the sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2016
$1bn
CONVERTIBLE
Jun 2015
$526m
SERIES G
Total funding: $2.1bn
Company benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse
- Flexible share incentives letting you choose how you share in our success
- Global parental leave, six months off - fully paid - for all new parents
- All The Feels, our employee assistance program and self-care hub
- Flexible public holidays, swap days off according to your values and beliefs
Company HQ
Norrmalm, Stockholm, Stockholms län
Leadership
Daniel Ek
(CEO & Chairman)Founded Spotify in 2006. Previously worked as an executive at Tradera, an auction company that was sold to eBay and was briefly the CEO of uTorrent.
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