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Member of Technical Staff – Models & Learning

WYLE · Dubai

Onsite 🇬🇧 English
Evaluation Specialist models Preference learning Online learning Verifiers Synthetic environments Model training Reward models Model adaptation Reasoning New learning methods Agent learning Continual learning

Job description

About the role

WYLE is building Buddy, a personal intelligence that lives alongside a single user for years, continuously learning from decisions, actions and outcomes. We are seeking a Member of Technical Staff to drive the core models and learning algorithms that enable this persistent, aligned intelligence.

Key responsibilities

  • Design, implement and evaluate model training pipelines, reinforcement‑learning and preference‑learning loops, and continual‑learning mechanisms.
  • Develop synthetic environments, verifiers, and evaluation frameworks for inference‑time learning, specialist models, reward models and model adaptation.
  • Turn research hypotheses into production‑ready code, training runs and rigorous evaluation metrics without a fully specified ticket.

Required profile

  • Demonstrated ability to go beyond existing methods, reproduce research, break it and propose better alternatives.
  • Comfortable bridging research and engineering, building end‑to‑end systems from experiment to working product.
  • Willingness to challenge ideas, including those of senior staff, and provide evidence‑based conclusions.

Required skills

  • Evaluation
  • Inference‑time learning
  • Specialist models
  • Preference learning
  • Online learning
  • Verifiers
  • Synthetic environments
  • Model training
  • Reward models
  • Model adaptation
  • Reasoning
  • New learning methods
  • Agent learning
  • Continual learning

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec WYLE.
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Published 1 week ago

Expires 1 month from now

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WYLE

Dubai