[ML Researcher Application ]
WATER is a Biophysical Intelligence research company. Our mission is to teach matter to respond to life: we study how the human body and the physical world respond to each other, and we build machines that sense a body, model its state, and respond in real time. CAMA, an adaptive bed, and FLOW, an adaptive chair, are the first surfaces this research runs on. The work spans three research directions: machine learning and mathematics, bio research, and materials and electronics. The long-range outcomes we care about are human longevity and human experience.
You own experiments on open questions in pressure-field modelling, posture inference, and body-state estimation. You'll work on data pipelines, training and ablations, reproductions from the literature, and honest write-ups.
In This Role You Will
- -Design and run experiments on open questions in pressure-field modelling, posture inference and body-state estimation.
- -Build data pipelines from raw sensor streams to training-ready tensors, and understand every transformation in between.
- -Train models, run ablations, and write up what you found — including when the answer is that the idea did not work.
- -Reproduce relevant work from the literature and report honestly whether it transfers to our data.
- -Work with the research scientists collecting ground truth. Go and watch a study being run.
- -Contribute to papers and internal research notes.
What We Hope You'll Bring
- -You have trained a model on data you had to clean yourself, and it worked.
- -M.Tech/MS, PhD, or a strong independent research record.
- -Solid PyTorch and Python. Comfortable in a terminal, with git, and on a GPU box.
- -Real command of the fundamentals — optimisation, regularisation, what your loss is actually rewarding.
- -You read papers and implement them, rather than citing them.
- -Nice to have: preprints or public reproductions, signal processing background, competitions where the data was messy.