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4 часа назад

Data Scientist (Machine Learning)

61 200 - 100 100
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist (Machine Learning): Building and optimizing retrieval, ranking, and personalization models for Vinted’s search and recommendation systems with an accent on real-time serving, large-scale data, and rigorous experimentation. Focus on designing ML pipelines, optimizing millisecond-level inference, and measuring product impact through offline evaluation and online A/B testing.

Location: Hybrid work; 2 days in the office are recommended but not enforced. Up to 90 days per year may be spent on workation, including 21 days working outside the EU.

Annual gross salary: €61,200–€100,100.

Company

hirify.global is a Lithuania-founded second-hand marketplace group operating hirify.global Marketplace, hirify.global Go, and hirify.global Pay across Europe.

What you will do

  • Build and optimize end-to-end machine learning models for search retrieval, ranking, and personalized recommendations.
  • Partner with platform and software engineers to deploy models in search and recommendation engines with high-throughput and millisecond-level latency requirements.
  • Design modeling approaches, features, and training pipelines through collaborative technical proposals.
  • Define tracking requirements, conduct offline evaluations, and design and analyze online A/B tests.
  • Translate product opportunities and business problems into machine learning objectives with Data, Engineering, and Product stakeholders.
  • Share knowledge, participate in peer reviews, and support the development of other data scientists.

Requirements

  • Production experience designing, training, and deploying machine learning models, ideally for search, recommendations, or large-scale personalization.
  • High proficiency in Python and SQL, with experience using deep learning frameworks and gradient boosting libraries.
  • Understanding of information retrieval, Learning-to-Rank, semantic search, or sequence-based user preference modeling.
  • Experience or strong interest in high-performance model serving and working with massive datasets in cloud-based data warehouses.
  • Strong knowledge of statistics, offline evaluation metrics, and online A/B testing methodologies.

Nice to have

  • Familiarity with Vespa or Elasticsearch and serving frameworks such as Triton.

Culture & Benefits

  • Hybrid workplace with team-agreed office days.
  • €540 personal budget for home-office furniture and IT workstation equipment.
  • 30 days of paid annual leave, private health insurance, life and disability insurance, and pension matching.
  • Annual learning budget for courses, certifications, and workshops.
  • Share options, lunch benefit, hirify.global shopping budget, gym membership discount, and team-building events.
  • Dog-friendly office and confidential Employee Assistance Program for employees and their families.

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