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Senior NLP/LLM Engineer

Social Discovery Group

Remote
Remote Senior 🇬🇧 English
Python NumPy Pandas SciPy scikit-learn PyTorch Transformers vLLM SGLang LoRA QLoRA SFT RLHF DPO inference optimization

Job description

About the role

Social Discovery Group (SDG) is seeking a Senior NLP/LLM Engineer to advance its AI-driven social discovery products. You will work remotely with an international team of digital nomads, shaping the next generation of conversational agents and large language model applications.

Key responsibilities

  • Conduct experiments with LLMs, exploring architectures and techniques such as SFT, RLHF, adapters, and LoRA.
  • Develop and maintain robust evaluation frameworks for offline and online metrics, measuring performance, accuracy, and user satisfaction.
  • Optimize models for inference to meet production‑grade speed, efficiency, and scalability requirements.
  • Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into the product pipeline.

Required profile

  • Deep understanding of machine‑learning and deep‑learning principles, including model validation, loss functions, and evaluation metrics.
  • Hands‑on experience with classic NLP tasks (text preprocessing, TF‑IDF, classification, NER, semantic similarity) and transformer models such as BERT.
  • Practical expertise with large language models, fine‑tuning, alignment (RLHF, DPO), quantization, and high‑performance serving frameworks (vLLM, SGLang).
  • Strong Python programming skills and solid foundation in linear algebra, probability, statistics, and optimization.
  • Proficiency with ML libraries and tools: numpy, pandas, scipy, scikit‑learn, PyTorch, Transformers.
  • English proficiency at B2 level or higher.

Required skills

  • Python
  • NumPy
  • Pandas
  • SciPy
  • Scikit‑learn
  • PyTorch
  • Transformers
  • vLLM
  • SGLang
  • LoRA / QLoRA
  • SFT, RLHF, DPO
  • Model quantization and inference optimization

What we offer

  • Full‑time remote work opportunity
  • 28 calendar days of vacation per year
  • 7 wellness days annually
  • Collaborative, globally distributed team

Questions fréquentes

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Published 1 month ago

Expires 2 weeks from now

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Social Discovery Group