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AI Research Engineer Multi-Modal And Vision

TALENTMATE
, UAE
Senior
Vision Language ModelsSupervised Fine TuningKnowledge DistillationReinforcement Learning from Human FeedbackData CurationModel Compression
Free

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Key skills for this role

Vision Language ModelsSupervised Fine TuningKnowledge Distillation
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About the Job

  • As a member of the AI model team, you will drive innovation in training and optimizing vision language models with a focus on real world deployment.
  • Your work will span the full model development lifecycle from data curation and training pipeline design to model evaluation and optimization.
  • You will work across a wide spectrum of multimodal architectures integrating text and vision.
  • You will work closely with a small, high caliber team where your contributions will have direct and meaningful impact.

Responsibilities

  • Conduct end to end research and engineering on vision language models, covering training, evaluation, and optimization across the full model development lifecycle.
  • Design and implement post training pipelines including supervised fine tuning, knowledge distillation, and reinforcement learning from human feedback.
  • Develop and maintain high quality multimodal datasets, including data curation, filtering, and balancing for domain specific tasks.
  • Drive model efficiency and deployability, adapting models for resource constrained environments using compression and optimization techniques.
  • Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real world task success.
  • Build and scale training workflows across distributed GPU infrastructure.
  • Identify and resolve bottlenecks in training pipelines to achieve state of the art model quality on target benchmarks.
  • Contribute to and leverage open source ecosystems including models, datasets, and tooling to accelerate development.
  • Stay current with the latest research in multimodal learning and vision language systems, translating relevant findings into practical improvements.
  • Publish research findings in top tier AI conferences and journals where applicable.

Requirements

  • Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
  • Strong experience with multimodal post training workflows including supervised fine tuning.

Why Join Us?

  • Our team is a global talent powerhouse, working remotely from every corner of the world.
  • If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds.

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