Data Scientist / Machine Learning Engineer: Detection Team - Trust Domain

Details

Information about the position

You’ll become part of Trust’s Detection team, with a mission to protect the Vinted community from harmful activities and content. The Detection team in the Trust domain is engaged in detecting, understanding, and stopping dangerous or inappropriate content and behaviour within the Vinted Marketplace.

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.

As a Data Scientist, you will leverage raw user activity sequence data for feature engineering and model development to detect malicious use of our platform. Additionally, you will improve the pipelines of our current models and by establishing best practices and methodologies, you will play a crucial role in enhancing the domain's effectiveness and safeguarding Vinted.

In this position, you’ll

• 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.
• Together with backend engineers, you will ensure high performance and scalability of our deployed models.
• 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
• [Engineering roles] M1 MacBooks
• 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)
• Frequent team-building events
• 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

Individual Learning Budget

Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is 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. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.