Institute of Foundation Models

Machine Learning Engineer – World Model

Sunnyvale, CA Full-time On-site
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Job Description

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. The Team We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Role Overview We’re looking for a Machine Learning Engineer focused on ML infrastructure and MLOps to design and operate the systems that power our research environment. You’ll build scalable, reliable, and observable cloud infrastructure, working closely with researchers to support data pipelines, experimentation, and evaluation workflows.

Frequently Asked Questions

What does the Machine Learning Engineer – World Model role at Institute of Foundation Models involve?

The Machine Learning Engineer – World Model position at Institute of Foundation Models in Sunnyvale, CA is a full-time role. 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.

What skills are required for Machine Learning Engineer – World Model at Institute of Foundation Models?

Key skills for this role include: Scala, Machine Learning, Deep Learning, Data Pipeline, Mlops.

What is the salary for Machine Learning Engineer – World Model at Institute of Foundation Models?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Machine Learning Engineer – World Model position at Institute of Foundation Models remote or on-site?

This position is On-site. The role is based in Sunnyvale, CA.

How do I apply for Machine Learning Engineer – World Model at Institute of Foundation Models?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Machine Learning Engineer – World Model at Institute of Foundation Models is a full-time ai & machine learning position in Sunnyvale, CA. Key skills include Scala, Machine Learning, Deep Learning, Data Pipeline, Mlops. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as on-site and is suitable for mid level-level professionals. Ghost Score 20/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.