About the position

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.

As part of our team, you’ll have the opportunity to work on the
core of cutting-edge foundation model training, alongside
world-class researchers, data scientists, and engineers, tackling
the most fundamental and impactful challenges in AI
development. You will participate in the development of
groundbreaking AI solutions that have the potential to reshape
entire industries. Strategic and innovative problem-solving skills
will be instrumental in establishing MBZUAI as a global hub for
high-performance computing in deep learning, driving impactful
discoveries that inspire the next generation of AI pioneers.

Position Summary

We are looking for Research Scientists to tackle the data problems
that determine our world model capabilities. You will design,
develop, and run state-of-the-art systems for curating, ingesting,
filtering, annotating, and training with billion-scale visual data.
You will work on problems including, but not limited to, motion
scoring, camera control, and video understanding. You will
translate our team’s human efforts into durable automated systems,
whose performance is quantitatively verifiable.

$150,000 - $400,000 a year

Salary Range

The posted salary range represents the company’s good faith
estimate of the compensation for this position upon hire. The
actual compensation offered may vary within this range depending on
individual qualifications, including but not limited to relevant
skills, experience, education, certifications, geographic location,
and specific business needs.

Key Responsibilities

Translate requirements from downstream training,

application and eval teams to actionable data work.

Design and build scalable data pipelines.
Collaborate with engineering to scale data pipelines on

AWS infrastructure and in-house clusters.

Develop state-of-the-art visual understanding systems to

accurately label and annotate images and videos, such as for
detecting AI-generated content.

Academic Qualification s

PhD in Machine Learning or Computer Science, or

equivalent industry experience.

Professional Experience

Necessary:

Strong communication and collaboration skills for

effective cross-functional teamwork.

Ability to navigate ambiguity and drive projects in

rapidly evolving research areas.

Exceptional problem-solving and troubleshooting skills

to tackle complex technical challenges.

Preferred:

Experience in building and optimizing large-scale video

data pipelines.

Experience with large scale video curation.
Experience with data filtering, particularly

AI-generated content detection and duplicate detection.

Experience with image or video data annotation.
Experience with video data curriculum.
Strong systems and engineering expertise in deep

learning frameworks such as PyTorch.

Research contributions to top-tier conferences or

journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with
published work in relevant domains.

Benefits Include

*Comprehensive medical, dental, and vision benefits

*Bonus

*401K Plan

*Generous paid time off, sick leave and holidays

*Paid Parental Leave

*Employee Assistance Program

*Life insurance and disability

We may use artificial intelligence (AI) tools to support parts of
the hiring process, such as reviewing applications, analyzing
resumes, or assessing responses and identifying potential
inconsistencies or verification signals in application materials
based on available information. These tools assist our recruitment
team but do not replace human judgment. Final hiring decisions are
ultimately made by humans. If you would like more information about
how your data is processed, please contact us.