Senior NLP Engineer (Remote)

Denmark
Posted 19 hours, 41 minutes ago
Data Science

About the role

Job summary

This role focuses on developing advanced AI systems for social and conversational products, emphasizing the design and enhancement of language models for engaging interactions. The position is research-driven and production-oriented, allowing for significant influence over the lifecycle of large language models (LLMs).

Qualifications

  • Extensive hands-on experience with training and fine-tuning large language models in both production and research settings.
  • Proven track record in building agentic pipelines and orchestration systems for LLMs.
  • In-depth knowledge of transformer architectures, PyTorch, and contemporary NLP/ML libraries.
  • Familiarity with alignment techniques such as RLHF and DPO.
  • Background in backend or systems engineering, preferably using Python, Go, or C#.
  • Experience in AI-focused companies or research-oriented product teams is advantageous.
  • Strong analytical skills and a mindset geared towards experimentation and practical application of research.
  • Desirable: experience with multimodal models and distributed training on large datasets.

Responsibilities

Benefits

  • Train, fine-tune, and optimize large language models for AI companion and conversational systems.
  • Design and maintain frameworks for agentic systems, including chat orchestration.
  • Manage the complete LLM lifecycle from data preparation to production monitoring.
  • Research and implement state-of-the-art NLP techniques to enhance product offerings.
  • Collaborate with various teams to design experiments and assess model performance.
  • Contribute to backend systems that support high-throughput model inference.
  • Fully remote work with flexibility for a global team.
  • 28 days of annual leave plus 7 wellness days.
  • Performance bonuses and referral rewards.
  • Financial support for professional development.
  • Discounts for English language learning.
  • Annual health support budget for medical expenses.
  • Workplace support allowance for home office setup.
  • Access to an innovation-driven engineering culture with continuous learning opportunities.
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