Expertise with machine learning technologies for model adaptation (such as RLHF, RLAIF, DPO)
Hands-on experience working with deep learning toolkits (ideally PyTorch)
Experience with engineering practices required for working with large models and large datasets
Ability to formulate a research problem and design experiments to appropriately answer research questions
Excellent track record publishing at top ML conferences/journals
Excellent spoken and written communication skills
MSc in Computer Science, or related technical field
Ability to formulate a research problem, design experiments, implement and communicate solutions.
Ability to work in a diverse collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
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