Senior Principal Applied AI Scientist

Hace 1 semana

Barcelona, Cataluña, España Preply Jornada completa
Overview

As Senior Principal Applied AI Scientist, you will spearhead AI-driven personalized learning solutions and shape Preply’s scientific roadmap. You’ll architect state-of-the-art models with a world-class team to enhance learning experiences for millions of users. You’ll set long-term research directions aligned with product goals and advise leadership on technology decisions. This role combines autonomy, cross-functional influence, and the chance to push the boundaries of AI in education, at global scale.

Compensaciones / Beneficios
  • monthly allowance for lessons on Preply.com
  • Learning & Development budget
  • time off for self-development
  • equity and health insurance
  • free mental health support platforms
  • competitive financial package with leave allowance
Responsabilidades
  • Design and deploy scalable ML solutions for personalized learning and intelligent tutor systems using deep learning, NLP, IR, LLMs, and multimodal AI
  • Develop long-term scientific roadmaps aligned with product strategy and business goals
  • Collaborate with applied science, product, and engineering teams to translate research into products that unlock new opportunities
  • Mentor scientists and engineers, fostering a collaborative, innovative science community
  • Establish and promote ML best practices across architecture, roadmaps, and deployment pipelines
Requisitos principales
  • PhD in NLP, IR, ML or related fields (or equivalent experience)
  • 8+ years of industry experience with deep learning-based NLP, LLM pre-training, and IR methods
  • Expertise in retrieval models and ranking models
  • Experience with retrieval-augmented generation (RAG) and LLMs in real-world applications
  • Proficiency with PyTorch
  • Hands-on experience with cloud platforms (AWS, Google Cloud)
  • Proven ability to lead scientific roadmaps across product areas and collaborate with Product and Engineering
  • Track record of solving real-world problems across research to production
  • strong collaboration and cross-functional teamwork
  • leadership and mentorship
  • strategic advisory capabilities to senior leadership
  • PyTorch
  • retrieval models
  • ranking models