Machine Learning Engineer positions focus on delivering results in their domain. This page aggregates open Machine Learning Engineer roles and what employers typically expect.
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.
Salary estimate
$111,000 – $150,000/yr
Provided by the employer.
Skills for this role
Machine Learning
Resume tips for Machine Learning Engineer applicants
Lead with measurable achievements relevant to Machine Learning Engineer (numbers, scope, impact).
Mirror the exact keywords from the Machine Learning Engineer posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Typescript, React, Python, GO).
Keep it to one page for early-career, two pages for senior Machine Learning Engineer candidates.
Interview preparation
Prepare concrete STAR-format stories that show Machine Learning Engineer outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Machine Learning Engineer problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
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