Institute of Foundation Models

Machine Learning Engineer

Abu Dhabi Full-time Remote
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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 Role

As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.

Frequently Asked Questions

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

The Machine Learning Engineer position at Institute of Foundation Models in Abu Dhabi 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 at Institute of Foundation Models?

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

What is the salary for Machine Learning Engineer 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 position at Institute of Foundation Models remote or on-site?

This position is Remote. You can work from anywhere, subject to the employer's remote work policy.

How do I apply for Machine Learning Engineer 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 at Institute of Foundation Models is a full-time ai & machine learning position in Abu Dhabi. Key skills include Scala, Machine Learning, Deep Learning. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as remote 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.