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Data Scientist (NLP)

330 000₽
Формат работы
remote (Global)/onsite
Тип работы
fulltime
Английский
b2
Страна
Russia
RUВакансия из Hirify RU, списка российских tech-компаний

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TL;DR
Data Scientist (NLP) (Search and Recommendations): Building candidate generators, ranking models, multilingual NLP systems, and ML pipelines for an international classifieds platform with an accent on search, recommendations, embeddings, and cold-start signal extraction. Focus on developing production code, collecting training data, adapting models across languages, and solving high-load data science challenges.

Location: Remote work or an option to work from an office in the city center

Salary: from 330,000 RUB net per month

Company

A technology startup is building a next-generation classifieds platform that combines marketplace, transactional services, fintech, and logistics capabilities for mass-market users across international markets.

What you will do

  • Build candidate generators and ranking models for search and recommendations using LLM-generated labeling.
  • Develop ML infrastructure, including feature-computation pipelines and training-data collection workflows.
  • Train multilingual content embeddings and extract useful signals in cold-start conditions.
  • Adapt search and recommendation technologies for different languages by developing multilingual NLP models.
  • Work end-to-end across research, model training, production coding, and product development.

Requirements

  • Experience with search, recommendations, or ad tech.
  • Experience building high-load data science services.
  • Strong academic background and solid Computer Science fundamentals beyond machine learning.
  • Ability to develop product features end-to-end rather than focusing only on individual models.
  • Interest in combining research, model training, and production engineering.

Culture & Benefits

  • Product-focused team prioritizing user value over feature delivery alone.
  • Modern equipment and a comfortable working environment.
  • Transparent bonus system and competitive compensation.
  • Personal learning budget for books, courses, conferences, and AI service subscriptions.
  • Private health insurance including dental coverage from the first month.
  • Meal and sports allowances.

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