Senior Machine Learning Engineer
Senior specialist
Valid until
Position salary
4900-6400 Eur gross monthly
Languages required
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Employees in Lithuania
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Established in Lithuania

Vinted is Europe’s biggest pre-loved fashion marketplace, with 34 million members in 13 countries. Our mission is green: we want to make second-hand the first choice globally.

A team of over 500 people from Vinted’s offices in Vilnius, Berlin, Prague, and Utrecht develops and supports our platform. We share a unique work culture that’s based on aiming high, taking ownership, co-creating, caring, and growing.

You’ll be part of the Vinted Machine Intelligence team, where you’ll be developing new features for our members – all the way from concept to roll-out. We’re upgrading how we use machine learning to make our product better, so you’ll be part of a small, expanding team with focus on recognising opportunities, building production-ready models and monitoring them.

You’ll be involved in decision-making, have clear task ownership, and participate in regular tech-lead meetups. Last but not least, you’ll be working with a state-of-the-art tech stack: PyTorch, TensorFlow, Spark, Kubeflow, MLFlow, Google Cloud Platform.

In this position you will:

  • Develop ML-based features that have a significant impact on our members' experience

  • Together with the team, discover new opportunities to apply ML in Vinted

  • Lead ML projects

  • Define data requirements and engineering features for ML models

  • Select, train, validate, optimise, and deploy ML models

  • Collaborate with MLOps engineers to improve and automate model training, maintenance, deployment, and monitoring processes

  • Mentor and support ML engineers and data scientists

  • Work with both structured and unstructured data

  • Use both neural networks and classical ML models

  • Apply Agile and Lean principles in your work

About you:

  • 5+ years of experience in Machine Learning, Software Engineering, Data Science or related areas

  • Python mastery

  • Delivered multiple ML projects

  • Deep understanding of fundamental ML concepts like model parameters, metrics, biases, and datasets

  • Built models for various ML problems

  • You’ve worked on deep learning projects using PyTorch or Tensorflow

  • Excellent at communicating in spoken and written English

  • Ability to adapt to changing priorities and requirements

  • Advantage: Strong data analysis skills

  • Advantage: Experience productionising ML models

  • Advantage: Experience with Google Cloud Platform (GCP) or AWS

  • Advantage: Experience with MLOps tools (KubeFlow, MLFlow, Seldon, etc.)


  • Opportunity to join our stock options programme

  • Learning budget (13.2% from net yearly salary)

  • 25 working days of holiday

  • Remote workout classes

  • A canteen that serves homemade food at friendly prices 

  • Monthly team-building events

  • A personal budget for shopping on Vinted

The salary range for this position is 4,900–6,400 € (gross) per month.

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