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Senior NLP/LLM Engineer

Social Discovery VenturesCały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano5 czerwca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

Social Discovery Group is a global leader in social discovery, uniting millions of users through innovative platforms designed to foster connection and combat loneliness. We are currently seeking a Senior NLP/LLM Engineer to join our international team of professionals in building impactful AI-driven products.

Key responsibilities

  • Conduct experiments with LLMs, exploring architectures and techniques like SFT, RLHF, and Adapters to enhance AI capabilities.
  • Develop and implement robust evaluation methodologies to assess the performance, accuracy, and user satisfaction of AI bots.
  • Optimize models for inference to ensure high speed and scalability within production environments.
  • Collaborate with cross-functional teams, including data scientists and product managers, to integrate AI solutions into the product pipeline.

Requirements

  • Deep understanding of ML and DL principles, including neural network architectures, loss functions, and model validation.
  • Strong knowledge of classic NLP approaches, such as text classification, NER, and transformer-based models like BERT.
  • Practical experience with LLMs, including fine-tuning, alignment via RLHF/DPO, and deployment using frameworks like vLLM or SGLang.
  • Proficiency in Python and solid mathematical foundations in linear algebra, statistics, and optimization.
  • Familiarity with essential ML tools and frameworks such as PyTorch, NumPy, Pandas, and Scikit-learn.

What we offer

  • Fully remote work opportunity in a global, distributed team.
  • 28 calendar days of vacation per year plus 7 additional wellness days.
  • Financial support for professional training, international conferences, and English lessons.
  • Health benefits including compensation for insurance or medical expenses.
  • Reimbursement for home office equipment or co-working space costs.

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