Overview

Research Engineer – Modeling Jobs in Abu Dhabi, UAE/Dubai at Ifm Us

Position: Research Engineer – World Modeling

About the Institute of Foundation Models

We are a dedicated research lab for building, understanding, using, and risk‑managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge‑driven economy.

The Role

As a Research Engineer with the World Model Team, you’ll help drive the development of PAN (Physical, Agentic, and Networked) world models — next‑generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning. You’ll tackle core technical challenges in world modeling and collaborate closely with a multidisciplinary team of researchers and engineers. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together.

  • Design, implement, and maintain scalable video data pipelines to support large‑scale training.
  • Develop data preprocessing, transformation, and synthesis workflows to support world model training.
  • Contribute to building high‑quality data annotation pipelines to ensure accurate and consistent labels across large‑scale datasets.
  • Support the training of multimodal foundation models (e.g., video diffusion models, world models) by developing and optimizing distributed training systems.
  • Improve inference and serving efficiency for real‑time interaction through model optimization and system tuning.
  • Monitor system health and performance and contribute to debugging and optimization at scale.
  • Work closely with research teams to understand experimental goals and translate ideas into reliable and maintainable infrastructure and tools.
  • Integrate novel research prototypes into production‑ready systems and ensure reproducibility at scale.
  • Participate in design and code reviews, ensuring code quality, efficiency, and compliance with best practices.
  • Contribute to the development of tools and infrastructure to evaluate model performance using rigorous quantitative benchmarks, including metrics for physical accuracy and cont rollability.
  • Maintain and extend shared codebases, contribute to internal documentation, and support onboarding of new team members or collaborators.
  • Write clean, efficient, and well‑tested code for components across the model development lifecycle.
  • Support contributions to research papers and demos when engineering work plays a significant role.
  • Help represent the team’s engineering excellence in internal and external forums when appropriate.
  • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.
  • Proficient in data collection, cleaning, and transformation at scale, including designing robust pipelines for multimodal datasets (e.g., video, audio, text).
  • Practical experience with web scraping and crawling frameworks (e.g., scrapy, selenium, playwright, Beautiful Soup) to collect and curate high‑quality web‑scale datasets.
  • Experience in large‑scale model training (LLMs or Diffusion Models) on large clusters.
  • Hands‑on experience with state‑of‑the‑art video generative models (e.g., Sora, Veo2, Movie Gen, CogVideoX, etc.).
  • Experiences in building and optimizing large‑scale video data pipelines.
  • Experience in accelerating diffusion model inference for improved efficiency.
  • Exceptional problem‑solving and troubleshooting skills to tackle complex technical challenges.
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch.
  • Strong communication and collaboration skills for effective cross‑functional teamwork.
  • Demonstrated ability to solve complex system‑level challenges and debug failures across the training/inference stack (e.g., memory issues, deadlocks, I/O bottlenecks).

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Title: Research Engineer – Modeling

Company: Ifm Us

Location: Abu Dhabi, UAE/Dubai

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