As the first dedicated Machine Learning Engineer at EQUALS, you will own the core recommendation systems that power a platform with 1M MAUs and 40M friendships. You will build and scale end-to-end ranking, retrieval, and safety models, directly shaping how millions discover music and build communities through the world’s most universal language.
Machine Learning Engineer at EQUALS
Join EQUALS as our first dedicated Machine Learning Engineer and take the lead on the recommendation engines powering 40 million friendships. With over 1 million monthly active users out-pacing engagement on major platforms like Instagram and Snapchat, you'll join an elite team from Apple and Nike backed by the investors behind Spotify and Facebook. You won't just build models; you'll own the entire ML lifecycle from data pipelines to production ranking. If you're a shipping-focused engineer ready to define the future of music discovery and social connection, this is your stage.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
EQUALS
Role overview
Equals is the world’s largest social music network with over a million users, growing exponentially month to month. We connect people through the music they love - fans discover new people, collect tracks, and connect in artist chatrooms. Our platform serves users across the world with real-time chat, music streaming, and a recommendation engine that matches people by musical taste.
What you will do
- Design and ship end-to-end ranking and retrieval models for content feeds, balancing engagement, discovery, and growth for artists and superfans.
- Build sophisticated people recommendation systems using social graph modeling and affinity analysis to spark millions of new friendships and connections.
- Develop and scale ML-driven trust and safety systems, including content classification and abuse detection, to protect a rapidly expanding global community.
Who this is a fit for
- Proven experience shipping recommendation, ranking, or search systems at scale within a high-growth consumer social or music streaming environment.
- Deep technical proficiency in Python and the modern ML stack, with the ability to build and maintain your own data and serving infrastructure.
- A pragmatic, shipping-focused mindset that prioritizes iterative improvement and rigorous A/B testing over theoretical polishing in a vacuum.
Why this role is remarkable
- Directly impact a music-centric social graph that already sees higher engagement than Instagram and Snapchat among its 1 million monthly active users.
- Join an elite team of creatives and technologists from Nike, Instagram, and Apple, backed by the legendary investors behind Spotify, Facebook, and A24.
- Take total ownership of the full ML lifecycle—from data pipelines and candidate generation to production serving—without the constraints of a separate platform team.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and EQUALS wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.