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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