Join our global force of 500+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us— and let the world feel your work.

The role

We’re looking for a skilled Senior Machine Learning Engineer to serve as a technical leader in our Smart Discovery Team - the group shaping the next generation of discovery experiences at Epidemic.

In this role, you’ll architect and lead the development of AI systems that form the core of our discovery experience and uncover music in new, intuitive ways. You’ll work at the intersection of agentic AI, large language models, and traditional search algorithms, creating conversational and context-aware discovery experiences that redefine how people interact with our library.

We’re at the start of an exciting journey to deliver the best AI-powered discovery experiences for our users. We’re agile, user-focused, and passionate about building high-quality products.

How You’ll Make an Impact

• Build and evolve the features that power how users discover and connect with our catalog.

• Take ideas from concept to production: your team owns its projects end to end.

• Prototype, experiment, and scale solutions that combine search, personalisation, and conversational AI.

• Design and evaluate retrieval and agentic systems that understand user intent and context.

• Contribute to a curious, collaborative, and explorative team culture.

• Define, implement, and evangelise best practices in ML engineering, code quality, and system design, measurably improving team processes and output

• Coach and mentor other engineers to level up the team's capabilities, acting as a key technical partner to influence product, data, and design roadmaps.
  

Who You Are

• PhD or Master’s degree in Computer Science, Machine Learning, or a related field.

• Proven experience building and deploying production-grade LLM or agentic AI systems (e.g. reasoning, memory, context optimisation, tool use, retrieval).

• Strong background in one or more ML domains: LLMs, NLP, information retrieval, recommendation systems, or reinforcement learning.

• Excellent software engineering fundamentals.

• A proactive and self-directed mindset, thriving in an agile, experiment-driven environment.

Equal opportunity employer

We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.

Welcome to Tune In - our behind-the-scenes video series where we sit down with the brilliant minds shaping the sound and story of Epidemic Sound. In this episode Oscar Höglund, CEO and Co-Founder of Epidemic Sound sits down with Rikard Herlitz, Chief Tech Officer where he shares what makes developers most happy, what velocity means to him and how Epidemic Sound is in the sweet spot when it comes to AI.Thinking about joining us? Tune in - and see if we sound like your kind of vibe.