Machine Learning Engineer

Institute of Foundation Models; Abu Dhabi; On-site; AED 257,000 - 331,000; Full time

Job summary

A leading research institution in Abu Dhabi is seeking a Machine Learning Engineer to develop innovative models and enhance AI capabilities. The role involves collaboration with cross-functional teams and participation in groundbreaking projects that shape the future of AI. Ideal candidates should have at least 3 years of software engineering experience, a degree in computer science, and skills in machine learning and data analysis.

Qualifications

• Minimum 3 years of experience in software engineering and machine learning.
• 2 years of programming language experience, or 1 year with advanced degree.
• 2 years of experience with data structures or algorithms.

Responsibilities

• Develop and implement innovative machine learning models.
• Collaborate with research teams to integrate technologies into codebase.
• Review code and provide feedback to ensure best practices.

Skills

Machine Learning algorithms

Deep Learning

Natural Language Processing

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Computer Science

Tools

TensorFlow

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.

Key Responsibilities

• 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.

Academic Qualifications

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

Professional Experience - Minimum

• 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.

Professional Experience - Preferred

• 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.