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Senior Backend Engineer (Audio Recommendations, Data)

77% Flex
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Leading edge in music info retrieval, Experience with recommender systems, Familiar with latest industry research.

Key responsabilities:

  • Develop backend architecture, APIs, data pipelines
  • Implement audio-based ML models
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Colossal
2 - 10 Employees
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Job description

Logo Jobgether

Your missions

We’re building the next generation of music discovery and monetisation tools for music creators, and reshaping how artists connect and make great music. Our mission is huge: to power the future of music for the internet… and we’re starting with a revolutionary new social marketplace.

Our background

Colossal is founded by Paul Anthony, Founder of one of the world’s fastest growing fintech companies, Primer — and as is backed by Europe’s most influential investors.

As a hobbyist producer of 10+ years, Paul grew frustrated by archaic platforms geared towards music producers wanting to make a living off their works, and felt current offerings had not kept up with the pace of innovation across the creator economy.

🤫 Shh… we’re in stealth-mode

Fresh off a fundraise, we’re building out our founding team and are looking for enormously ambitious, hugely pragmatic, highly experienced forward-thinkers to join us on our journey. Our product is game-changing, and so must our team be.

We’re not just looking for music folks. If you’re passionate about building beautiful, bold products, and are always thinking about “what’s next?” then this could be the opportunity for you.

What you will be doing

You will be developing our backend software architecture, APIs and data pipelines for our core audio recommendation systems. You will be working to implement audio-based ML models benchmarked against user engagement and conversion.

Requirements

This role requires you to be on the leading edge of music information retrieval and recommender systems. You will have already implemented such systems in the past, and be familiar with the latest industry research.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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