Machine Learning Engineer at Institute of Foundation Models

Job Description:

Latest job information from Institute of Foundation Models for the position of Machine Learning Engineer. If the Machine Learning Engineer vacancy in Abu Dhabi matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Institute of Foundation Models for the position of Machine Learning Engineer below matches your qualifications.

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.

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.

• Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
• Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre‑training, post‑training, evaluation and so on, especially foundation models.
• Participate in or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting‑edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with those functional objectives.

• Minimum: Bachelor’s degree or equivalent practical experience.
• Preferred: Master’s degree or PhD in Computer Science or related technical field.

• 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Excellent problem‑solving and troubleshooting skills to address complex technical challenges.
• Effective communication and collaboration skills to work with cross‑functional teams.

• 2 years of experience with improving performance during large scale data processing.
• Hands‑on experience with LLM algorithms, such as Supervised Fine‑Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
• Excellent data analysis skills.

Job Info:

• Company: Institute of Foundation Models
• Position: Machine Learning Engineer
• Work Location: Abu Dhabi
• Country: AE

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Engineer at the office Abu Dhabi above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.