Machine Learning Engineer

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Machine Learning Engineer

At TicketSwap, we're redefining the experience of buying and selling tickets. With a community of over 13 million users spanning 36 countries, our journey towards becoming the most trusted and preferred ticketing platform worldwide is well underway. Our mission? To ensure that every transaction is safe, fair, and effortless. 

As we navigate the landscape of product innovation, we're confronted with an array of challenges - from developing groundbreaking features that delight our fans, to scaling our platform to new heights. Our drive stems from a deep-seated passion for technology and a relentless pursuit of providing the best fan experience. 

TicketSwap is built by fans, for fans. Keeping them at the heart of everything we do is our guiding principle. We are continuously on the hunt for creative and intelligent people to strengthen our team. 

Right now we are looking for a Machine Learning Engineer (MLE). The MLEs at TicketSwap work closely with the data team, product and finance. This provides the opportunity to focus on a wide variety of projects. 

This year, we're ramping up our machine learning efforts, focusing particularly on leveraging open source large language models to enhance our platform. Our MLEs play a critical role in shaping these initiatives from the ground up - from conceptualizing new ideas to bringing them to life through development, deployment, and ongoing optimization.

We're using on-premise hardware for model prototyping and development. Plus, our growing MLops infrastructure supports our team in experiment management, ensuring efficient tracking, smooth deployment, and meticulous monitoring of our models.

If you're passionate about machine learning and eager to contribute to a variety of meaningful projects, we'd love to hear from you. Join us in making the ticket buying and selling experience safer, fairer, and more enjoyable for fans worldwide!

Full-time · Amsterdam

What you can expect from the work

  • Apply Machine Learning / Artificial Intelligence to personalization, discovery, fraud detection and natural language processing;

  • Design Machine Learning solutions for TicketSwap’s unique product challenges;

  • Manage models entire lifecycle from prototyping, to deployment, to continuous improvement and monitoring;

  • Producing data insights: extract value from data and drive improvements and strategic decisions;

  • Work closely with the different stakeholders, understand their problems and come up with solutions;

  • Help with the continuing development of our MLops pipeline;

  • With data driven decision making playing an important role the ML products you develop will have real impact on customers and the business.

About you

  • Work experience as a Machine Learning Engineer or a Data Scientist;

  • You are based in The Netherlands, are an EU resident, or have an existing visa to work here. A relocation package is not provided;

  • Solid theoretical knowledge of Machine Learning;

  • Familiarity with at least 2 of: Scikit Learn, TensorFlow/Keras, PyTorch, one of the llama or LLM ecosystems;

  • Strong understanding of Python and OOP design principles;

  • Good knowledge of data preprocessing and feature engineering;

  • Comfortable with SQL;

  • Ability to work with git, write code reviews, and tests;

  • Passionate about building delightful products for users;

  • Strong communication and team-work skills.

Nice to have

  • Working experience with ETL and Data Pipelines;

  • Familiarity with tools relevant to our workflow: AWS (S3, ec2, Redshift, SageMaker), ClearML, Hydra Framework, Docker;

  • Experience with MLops beyond experiment tracking;

  • Knowledge of statistics/statistical modeling.

TicketSwap Perks & Benefits

At TicketSwap we don't only care about a competitive salary. We want you to be happy and healthy and get the best result possible, every single day! That's why we're offering a range of perks and benefits that we hope will help you reach all your goals and ambitions in life and enjoy every moment in and around the office. 

Healthy lunch & snacks every day
Pension plan, fully paid by TicketSwap
Friday drinks
at the office
Diverse team with 30+ nationalities
Hybrid friendly workspace
25 paid holidays
a year

Excited and ready to join our team?

Research shows that women and those in traditionally underrepresented groups tend to apply only if they check all the boxes. That’s a shame, as we would love to build a diverse team. If you know you’ve ‘got what it takes’, but don’t meet every requirement for the role, we would still encourage you to apply.

TicketSwap is looking for the best and motivated talent out there no matter your nationality, gender, sexual preference or religious beliefs. 🚀

Click the button below and we'll get back to you as soon as possible! 💥

Proactive acquisition from 3rd parties is not appreciated.

Apply now