Machine Learning Engineer at EQUALS

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Job Title

Machine Learning Engineer

Salary

Not Disclosed

Company Description

EQUALS is a high-growth music social network with 1 million monthly active users, backed by the top-tier investors behind Spotify, A24, and Facebook.

Job Description

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.

Location

London, UK

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.

• 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.

• 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.

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.

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.

How does this work?

• Jack's an AI agent for job searching and career coaching. He works for you.
• Jill is the AI recruiter working for the company. She recruits from Jack's network.
• If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

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