General job

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

As a Senior MLOps Engineer, you are part of the Engineering organization in the Infra team responsible for MLOps. In this role, you develop tools and automate systems to build, train, evaluate, deploy, and monitor ML models. Your role will facilitate the work of teams using ML inside the company, which can leverage the infrastructure you contribute building to produce ML-powered applications.

RESPONSIBILITIES

- Implement MLOps frameworks to support team-specific models, with specific focus on:

- Model / data version control
- Data preprocessing
- Model / experiment tracking
- Model training + evaluation
- Hyper-parameter optimisation
- Model deployment into production
- Model and drift monitoring
- Develop high-level functional DL library to streamline data scientists’ experiments
- Create and manage DAGs to carry out chains of tasks.
- Build REST APIs as part of the MLOps infrastructure.
- Liaise with ML stakeholders in the company to understand infrastructure needs and use cases.
- Research new technologies, automation tools and systems to improve efficiency and effectiveness.
- Documentation of infrastructure tools and services.


REQUIREMENTS

- >3 years Python experience working in a data- / ML-centred position
- Clean code, agile, TDD advocate
- Built (audio) ML / data pipelines
- Experience with MLOps tasks in production (e.g., model/experiment tracking, model monitoring, model deployment)
- Experience with MLOps tools and platforms (e.g., TensorFlow Extended, MLFlow, Optuna, DVC)
- Used ETL tools for data / ML processing (e.g., Airflow, Luigi)
- Git + data versioning (e.g., DVC)
- Experience in building and deploying machine learning models - ML models for audio / music processing is a big plus
- Familiar with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience working with major cloud providers, especially Google Cloud Platform or Amazon Web Services
- Basic knowledge of DevOps (e.g., Terraform, CI/CD, Docker, Kubernetes)
- Knowledge of database technologies (e.g., MongoDB, PostgreSQL)
- Experience with audio signal processing is a plus
- Good communication skills
- Fluency in English


WHAT WE OFFER

- Great atmosphere - we live, love & breathe music & tech!
- Working in an impact oriented team and inclusive company culture.
- An experienced team to learn from, with proven track records in multiple startups and big tech companies.
- Our flexible remote policy provides Utopians the freedom to work either from one of our inspiring offices or from home.
- We celebrate being an international and multicultural company.
- Competitive benefits; packages depend on location. You’ll be given more details on this during the interview process.
- We are supporting work permits for employees that have already moved to our locations from countries outside the EU. However, we do not support relocation at the moment.


THE HIRING PROCESS

- You send us your CV and a cover letter in English
- We invite you for an introductory video call to get to know you better and share more about us
- You get a technical test and unlimited time to send us your solution
- You meet the internal team for the technical interview
- You meet the hiring manager for the culture fit 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! :)