Senior Data Scientist / Machine Learning Engineer, Trust & Safety

Join Vinted as a Senior Data Scientist / Machine Learning Engineer

Vinted, the largest online international C2C marketplace in Europe, is seeking a Senior Data Scientist / Machine Learning Engineer to join our Trust & Safety team. Our mission is to protect the Vinted community from harmful activities and content. As part of the Detection team, you will be instrumental in detecting, understanding, and stopping dangerous or inappropriate content and behavior within the Vinted Marketplace.

Your Role

In this role, you will leverage your expertise in machine learning to research, design, implement, and maintain our detection models. You will play a critical role in ensuring that our models are not only accurate but also efficient and scalable. This involves working closely with our engineering teams to develop robust pipelines for data handling, feature engineering, model training, deployment, and continuous improvement.

Key Responsibilities

• Research, design, implement, and maintain diverse machine learning models for the detection of harmful content and behavior within the Vinted Marketplace.
• Contribute to the foundational machine learning aspects, including data versioning, labeling pipelines, and ensuring high-quality data for model training.
• Collaborate with the Data Infrastructure team to build and maintain data pipelines, tools, and infrastructure necessary for efficient model training, monitoring, deployment, and iterative improvement.
• Ensure high performance and scalability of our deployed models in collaboration with backend engineers.
• Work together with Decision Scientists to test and monitor new models.

About You

• Proven track record in data science (4+ years of experience), with a strong foundation in machine learning, statistics, or computational mathematics.
• Proficiency in working with gradient boosting, natural language processing (NLP), and deep learning models, including experience with the latest tools and methodologies.
• Deep understanding of model deployment, maintenance, monitoring, and scalability challenges for real-time ML models running in production.
• Demonstrated capability in working alongside engineering teams to design and implement efficient data ingestion, feature engineering, and model training pipelines.
• Excellent problem-solving abilities and a commitment to staying informed about the latest trends and advancements in machine learning and data science.
• Advantage: experience with using user sequence data for the development of ML models.

Work Perks

• The opportunity to benefit from our share options programme.
• 25 days of paid annual leave.
• Mental and emotional health support through the Mindletic app.
• Frequent team-building events.
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture.
• A daily lunch allowance.
• ClassPass (Gym Membership subsidy).
• Pension plan with total contribution of 12%, 8% by the Company and 4% by employee.
• A personal monthly budget for shopping on Vinted.
• An NS mobility card.
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation.
• A dog-friendly office.

Working at Vinted

Vinted offers a hybrid work model where 2 days in the office are recommended but not enforced. We are committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities, and life experiences.

Salary

The salary range for this position is €61,200 - €82,800 gross per year.

Join us in making second-hand the first choice worldwide and help us safeguard our community with your expertise in data science and machine learning.