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Staff Scientist - World Model

ifm-usSunnyvale, CA
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsPh. D. in Computer Science, Artificial Intelligence, or a related field. Proven experience in developing and deploying AI models, particularly in the realm of world modeling. Strong programming skills in Python, TensorFlow, or similar frameworks. Experience leading cross-disciplinary teams and managing complex projects. Excellent problem-solving skills and the ability to think strategically.

About the job


About the Institute of Foundation Models
We are a pioneering research laboratory dedicated to the development, understanding, utilization, and risk management of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make transformative contributions to a knowledge-driven economy.
 
As a member of our elite team, you will have the chance to engage with the forefront of foundation model training, collaborating with top-tier researchers, data scientists, and engineers to address some of the most pressing and impactful challenges in AI development. Your involvement will contribute to the creation of revolutionary AI solutions that can redefine entire industries. Your strategic and innovative problem-solving skills will be vital in positioning MBZUAI as a global leader in high-performance computing for deep learning, fostering discoveries that will inspire future AI trailblazers.
 
The Role
You will be responsible for the comprehensive strategy, design, and execution of our general-purpose world modeling initiatives. Your role will involve translating cutting-edge research (such as the PAN framework) into robust, production-ready simulators, leading a multidisciplinary team of engineers and scientists, and ensuring alignment with IFM’s overarching mission.
 
Key Responsibilities
Technical Leadership & Vision
Articulate and refine the architecture of the world model, leveraging the principles of PAN:
Multimodal data ingestion, mixed continuous/discrete representations, hierarchical generative modeling with an enhanced LLM backbone and diffusion-based predictors, generative loss grounded in real observations, and simulation for RL-based agent training.
Establish performance, safety, and evaluation benchmarks, driving ongoing enhancements.
Project & Team Management
Steer the planning, resource allocation, and timelines for world modeling projects. Supervise research engineers and scientists (including data curators, RL specialists, and simulator developers) to facilitate cohesive advancement.
Cross-Functional Collaboration
Collaborate with agent, reasoning, and deployment teams to incorporate world model outputs into downstream applications (robotics, multi-turn dialogue systems, and autonomous technologies). Engage with external partners (from both academia and industry) to integrate the latest advancements and tools.

About ifm-us

The Institute of Foundation Models is at the forefront of AI research, focusing on building and understanding foundational models. We aim to nurture the next generation of AI talent while making significant contributions to the field of artificial intelligence and its applications in various industries.

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