PhD AI Research Engineer — Lead NLP & Production AI

NeuralTrust

Barcelona

Hybrid

EUR 110,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

Hybrid remote flexibility
Flexible compensation plan
Barcelona-based startup environment

Job summary

NeuralTrust in Barcelona seeks an AI Research Engineer (PhD required) to lead our product vision, shape platform strategy, and work closely with enterprise clients to scale AI transformation. You will design AI-driven components, apply NLP, LLMs, and generative AI to production systems, and publish technical articles while bridging research and engineering.

The role offers hybrid remote flexibility, cutting-edge tools, and the chance to influence security-focused AI platforms across global

Qualifications

  • PhD with strong research in AI/ML, NLP, or generative AI.
  • Proven publications, patents, or notable contributions to AI.
  • Strong coding skills in Python with PyTorch or TensorFlow.
  • Solid foundations in algorithms, statistics, and optimization.

Responsibilities

  • Design and implement AI-driven components of the platform.
  • Apply NLP, LLMs, and generative AI to production systems.
  • Lead experiments in fine-tuning, evaluation, and deployment of models.
  • Develop efficient data and model training pipelines.
  • Collaborate with engineering and product teams to translate research into practical solutions.
  • Publish technical articles and internal papers; contribute to knowledge base.
  • Stay at the frontier of AI by evaluating new research and integrating findings.

Skills

Python
Research experience
NLP
Generative AI

Education

PhD in AI/ML/NLP/CS

Tools

PyTorch
TensorFlow

Job description

NeuralTrust in Barcelona seeks an AI Research Engineer (PhD required) to lead our product vision, shape platform strategy, and work closely with enterprise clients to scale AI transformation. You will design AI-driven components, apply NLP, LLMs, and generative AI to production systems, and publish technical articles while bridging research and engineering.

The role offers hybrid remote flexibility, cutting-edge tools, and the chance to influence security-focused AI platforms across global

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