We’re looking for teaching assistants (TAs) with strong ML programming ability to assist participants work through the curriculum, which will be a subset of the first two weeks of MLAB. We're especially excited about applicants who have previously completed MLAB, WMLB or the Cambridge Winter ML Camp.
There are 10 days of content in the curriculum, split across two weeks with a weekend break in the middle.
The content is still subject to change, but will roughly follow the structure below.
WEEK 1 (w/c 27 March)
- Day 1 - practise PyTorch by building a simple raytracer
- Day 2 - as_strided, convolutions and CNNs
- Day 3 - build your own ResNet
- Day 4 - build your own backpropagation framework
- Day 5 - model training, optimisers and hyperparameter search
WEEK 2 (w/c 3 April)
- Day 8 - build your own GPT
- Day 9 - transformer mechanistic interpretability day 1
- Day 10 - transformer mechanistic interpretability day 2
- Day 11 - RL day 1
- Day 12 - RL day 2
TAs do not need to work the full duration of the camp, although we have a preference for those who can work at least one full week.
We will provide accommodation in Cambridge to those who need it, and offer compensation for your time at £200 a day.
