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Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Recommender Systems): Building and optimizing ranking and recommendation systems for Bolt Food's personalized home screen and discovery surfaces with an accent on learning-to-rank, personalization, experimentation, and multi-objective optimization. Focus on taking machine-learning models from research through online experiments into production, designing candidate generation and feature systems, and balancing customer relevance with commercial objectives.
Location: Hybrid in Berlin, Germany; Tallinn, Estonia; or Bucharest, Romania. The role also includes on-site work at the Tallinn headquarters.
Company
Bolt is a technology company operating mobility and delivery products across more than 50 countries and 850+ cities, including Bolt Food.
What you will do
- Improve ranking and recommendation systems for the Bolt Food home screen and other personalized surfaces.
- Build learning-to-rank, personalized recommendation, cold-start, exploration, and screen-assembly solutions.
- Help customers discover restaurants, stores, dishes, and items while balancing relevance with business objectives and guardrails.
- Design and run A/B tests and evaluate ranking and personalization changes using offline and online metrics.
- Take machine-learning models from research through production with Product, Engineering, Analytics, and ML Platform teams.
- Shape technical direction for candidate generation, features, logging, experimentation tooling, and emerging sequential or generative recommenders.
Requirements
- 5+ years of experience in Data Science and Machine Learning, preferably building products at a technology company.
- Hands-on experience with large-scale ranking, recommender, or personalization systems.
- Strong Python and SQL skills, plus experience with PyTorch, Pandas, NumPy, and scikit-learn.
- Experience with several techniques including learning-to-rank, collaborative filtering, two-tower or sequential models, embeddings, vector search, gradient boosting, or multi-objective optimization.
- Strong knowledge of experimentation, statistical inference, offline and online evaluation, and product-oriented problem solving.
- Experience building ML systems end to end and driving projects from problem discovery to production impact.
Nice to have
- Search and information retrieval experience.
- Experience with sequential and generative recommender systems.
Culture & Benefits
- Inclusive workplace with equal-opportunity hiring and reasonable accommodations.
- Professional growth opportunities and annual company events.
- Salary, stock options, and physical and mental wellness benefits.
- A one-month paid sabbatical after five years at Bolt.
- Daily use of AI coding tools is encouraged, with responsibility for the quality of the output.
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