Data Scientist
By leveraging modern technologies we are developing a new music ecosystem. Welcome to Utopia - Where Music Lives!
WELCOME TO UTOPIA
Music is incredible. It can excite hundreds, and unite thousands. But as an industry, it has been slow, complicated, and disparate. While the tech world has moved into the future, the music industry continues to be shaped by inefficient systems of the past. At Utopia we believe there is a better way. Which is why today we are setting out to transform the entire industry; creating new revenue streams, consolidating the data and decluttering the admin. Unlocking the industry’s full potential by unifying it all in one truly holistic space. Some might call that a Utopia.
Funnily enough, so do we. Welcome to Utopia. Where music lives.
WHAT UTOPIANS DO
The open secret is that the music industry is struggling with the very basics of music accounting: What was played, when and where? Who should get paid and how much?
Utopia Music is bridging the data gap by connecting global consumption, accurate metadata, and fast payments to an industry-wide trust platform. Our goal is to unlock creative value and enable Fair Pay For Every Play to make a better world for Music. The solutions we offer do not threaten to usurp the role of industry incumbents - it is about bringing transparency in the industry and supporting efficient royalty collection for all.
THE ROLE
We are looking for Data Scientists / Machine Learning / AI Specialists who would like to join our team to deliver the best ML/AI-based solutions for the entire music industry. Our use cases include royalty & copyright tracking and forecasting, music fingerprinting, metadata matching and enhancement, audio-based music tagging & search and emotion-based music recommendation. On our journey to deliver best-in-class services on a global scale, we want to leverage AI methods to go beyond solutions that are available today, and would love it if you’d like to join us on fulfilling that mission!
RESPONSIBILITIES
- Research and keep up to date with state-of-the-art machine learning and/or deep learning techniques applicable to various use cases in music (data) analysis (ranging from royalty & copyright tracking and forecasting to metadata enhancement to audio-based music tagging) as well as other more business related use cases
- Prototype new algorithms and train models with state-of-the-art machine learning / deep learning frameworks in Python
- Define appropriate metrics and evaluate proposed approaches continuously
- Propose inference & prediction pipelines aimed at being used in production at scale
- Implement working, deployable and scalable systems for large-scale data analysis
- Collaborate and thrive in a cross-functional team environment including AI experts, data engineers, musicologists as well as business and commercial leads
- Meet with product managers regarding product requirements and roadmap
- Liaise with Data Engineering leads and Data Engineers on the requirements in terms of data analysis and machine learning and according data pipelines
- Define requirements and deliver input for our DataOps and MLops teams
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, AI or related fields
- 2+ years of industry experience in Data Science / Machine Learning
- Strong understanding of ML related problems and approaches (including data preparation, cleaning, data splits, etc.)
- Strong knowledge of Python and good knowledge of relevant frameworks (such as pandas, numpy, scikit-learn, Tensorflow, Keras, PyTorch ...)
- Good programming skills and rigor in documentation and testing
- Experience with Agile methodologies / SCRUM
- Goal-driven and a product-oriented mindset
- Ability to work independently, but also as a good team-worker
- Proficiency in English
BONUS SKILLS
- experience with AWS, Google Cloud, databases, data pipelines, CI/CD, MLOps, …
- Industry (fintech or music) experience with big data environments
WHAT WE OFFER
- Great atmosphere - we live, love & breathe music & tech!
- Working in a passionate and impact oriented team at the intersection of music & AI.
- The opportunity to work in a real-world setting, building products with and for the largest companies in music industry, and a wealth of data at the scale of the entire global music catalog
- An experienced team to learn from, with experience in multiple domains, startups and big tech companies.
- Nice offices in London, Stockholm, Helsinki, Vienna and Zug (Switzerland) (more to come…) + option to work remotely if you are in another country
- Flexible remote policy so if you prefer working from home - we’re fine with that too.
- Participation in scientific, music or tech conferences.
- Benefits such as health benefits etc. depend on location.
- We are supporting work permits for employees that have already moved to Europe from countries outside the EU. However, we do not support relocation at the moment.
THE HIRING PROCESS
- You send us your CV in English
- We invite you for an introductory video call with the Talent Acquisition team to get to know you better and share more about us
- Written Assignment
- Technical Interview
- Behavioural Interview
UTOPIANS
As we want to bring transparency, trust, and clarity to the music industry we serve, we know a change comes from within. Utopia is a transparent, trust-based organization striving to have clarity in thinking and doing what we set out to do.
We execute urgently and innovate to grow faster. We ship things that make a difference today, so we can make them better tomorrow. We embrace fairness and are all accountable.
Strictly diverse and inclusive. We are an equal opportunity employer.
We celebrate our diverse backgrounds and we welcome everyone who identifies with the above to apply. Welcome to Utopia - Where Music Lives!
We’re eager to meet You! :)
- Department
- Data
- Locations
- Multiple locations
- Remote status
- Hybrid Remote
Colleagues
Perks & Benefits
-
🏋️♀️ Active work space
At the Stockholm office we have a ping pong table and a gym in the basement and people are encouraged to use them both. We also have a generous wellness grant for anyone who prefer to do other things. -
☕️ Breakfast every morning
Every morning we gather around the bar for breakfast. It is of course voluntary but the coffee is great. -
👾 A bunch of nerds
We love what we do and we do what we love. So there will be a lot of interesting discussions going on about pretty much anything connected to music or tech and a lot of Star Wars references to acompany those. -
🏰 A little here and a little there
We love to work together. Where exactly that is at the moment is less important.
Work @ Utopia
Do you like to work in teams with a lot of individual responsibility? Yes, we know it sound cliché but this is also how it actually is.
Every morning after breakfast we gather in our teams to plan the day, assign tasks to kickstart the days. Agile, fast and inventive is how we like it. That also gives us room to pair up or hold a workshop if we need help in finding the best solution.
A helping hand and a good coffee might just be what we need to get things done.
About Utopia Music
Utopia exists for the love of music. A deep rooted belief that success in innovating an entire industry can only be achieved by looking holistically at the music industry value chain. By leveraging modern technologies we are developing a new music ecosystem. We want to help everyone from PROs to Publishers, Artists to A&R by creating new revenue streams, consolidating data and decluttering the admin.
Data Scientist
By leveraging modern technologies we are developing a new music ecosystem. Welcome to Utopia - Where Music Lives!
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