Al-Haffar | AlHaffar – The Specialist in Job Search in United Arab Emirates
Research Engineer - World Modeling
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 controllability.
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.
Research Scientist - World Modeling
Professional Experience
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, MovieGen, 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.
Ability to navigate ambiguity and drive projects in rapidly evolving research areas.
Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.
World Model Lead
Required Qualifications
Ph.D. or M.S. with 8+ years in AI research or engineering, specializing in world modeling, simulation, or generative modeling.
Proven track record building large-scale simulators or predictive models for complex environments.
Deep expertise in transformer-based LLMs, diffusion models, and hierarchical latent representations.
Hands-on experience with reinforcement learning frameworks (policy learning, planning with latent dynamics).
Strong leadership skills: project management, cross-site coordination, and team mentorship.
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Application Steps:
- Open the application link
- Browse the available jobs and select the one that suits you.
- Click on "Apply Now" and enter the required information.
- Ensure that your details are entered correctly, then click "Submit".
- Open the application link
- Browse the available jobs and select the one that suits you.
- Click on "Apply Now" and enter the required information.
- Ensure that your details are entered correctly, then click "Submit".