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About the Role
The Buyer Domain at Vinted is focused on creating a seamless and engaging experience for members searching and purchasing items. This role involves tackling the unique challenge of a peer-to-peer catalog with millions of unique, single-inventory listings and millions of new items uploaded daily, requiring real-time connection of buyers with perfect items.
Responsibilities
- Build and optimize end-to-end machine learning models for retrieval, ranking, and personalization.
- Partner closely with platform and software engineers to serve models in search and recommendation engines, optimizing for high throughput and millisecond-level latency.
- Lead or contribute to collaborative design proposals for new modeling approaches, features, or training pipelines.
- Define tracking requirements, perform offline evaluations, and design and analyze online A/B tests to measure real-world business impact.
- Collaborate with Data, Engineering and Product stakeholders to identify product opportunities, translate business problems into ML objectives, and align on technical trade-offs.
- Share knowledge, participate in peer reviews, and actively contribute to the growth and development of other scientists in the ML Guild and the Data Science & Analytics function.
Requirements
- A strong collaborator with hands-on experience designing, training, and deploying machine learning models in a production environment (ideally within search, recommendations, or large-scale personalization).
- High proficiency in Python and SQL.
- Experience with deep learning frameworks and gradient boosting libraries.
- Solid understanding of modern information retrieval, Learning-to-Rank (LTR), semantic search, or sequence-based user preference modeling.
- Experience or strong interest in high-performance model serving.
- Familiarity with search/vector engines like Vespa or Elasticsearch, and serving frameworks like Triton, is a plus.
- Comfort working with massive datasets in modern cloud-based data warehouses.
- Strong grasp of statistics, offline evaluation metrics, and online A/B testing methodologies.
Skills
- Python
- SQL
- Deep learning frameworks
- Gradient boosting libraries
- Information retrieval
- Learning-to-Rank (LTR)
- Semantic search
- Sequence-based user preference modeling
- High-performance model serving
- Vespa
- Elasticsearch
- Triton
- Cloud-based data warehouses
- Statistics
- Offline evaluation metrics
- Online A/B testing methodologies
Location
- Vilnius
Work Type
- Hybrid
Experience Level
- Mid-level
- Senior
Salary/Compensations
- €67.700—€91.500 EUR
Benefits
- Share options programme
- 25 days of paid annual leave
- Newest MacBook models
- Confidential Employee Assistance Program (EAP) for you and your family
- Frequent team-building events
- Home office support: IT workstation equipment and a personal budget of up to €540 for home workplace furniture
- Lunch benefit per working day
- Access to a discounted gym membership plan
- A personal monthly budget for shopping on Vinted
- Collective Defined Contribution Pension plan
- NS Business Card for your commute to the office by public transport
- 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
- Individual Learning Budget
About the Company
- Vinted's mission is to make second-hand the first choice.
- Vinted Marketplace is Europe’s leading platform for second-hand fashion.
- Vinted Go enhances the shipping experience with a vast network of pick-up and drop-off points.
- Vinted Pay provides secure, reliable payments to buyers and sellers across Europe.
- Founded in 2008 in Lithuania, Vinted became Lithuania's first unicorn in 2019.
- Headquarters remain in Vilnius, with offices across Europe and a team of over 2,000 people.
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.