Internship - Machine Learning Research (recurrent models | generative models | interpretability)
Core
Investigate next-generation machine learning techniques focusing on recurrent models, generative models, interpretability, and alignment to advance scientific research and future products.
Role type
Machine Learning Research Intern
Builds
Ground-breaking research publications and innovative ML techniques
Domain
Machine Learning Research
Deliverable
research
Required skills
Python, PyTorch, Jax, research problem formulation, experimental design, implementation, publication record in top ML conferences
Preferred skills
RNNs, generative AI, interpretability, alignment, image diffusion models, high-performance computing, kernel design, strong mathematical skills in linear algebra and statistics, strong software engineering skills
Technologies
PyTorch, Jax
Responsibilities
Collaborate with senior researchers and a multidisciplinary team to decide on a line of research, work towards a publication in a top machine learning venue, deliver ML research aligned with core values ensuring quality and scientific rigour
Seniority
Intern
