
Posted 4 months ago
Machine Learning Engineer
Sunnyvale, CAOn-siteFull-time
AI Summary
Develops and implements innovative machine learning models and scalable solutions for foundation model training and deployment, collaborating with research teams to advance AI research and performance.
About this 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. 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 Responsibilites
Academic Qualifications
Professional Experience - Minimum
Professional Experience - Preferred
Skills
AlgorithmsComputer VisionData PreprocessingData StructuresLarge-scale Data ProcessingLLMMachine Learning AlgorithmsModel EvaluationNatural Language ProcessingReinforcement Learning With Human FeedbackRLHFSupervised Fine-tuningTensorFlow
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