Novoic's mission is to predict brain disease from the way we speak - decades before routine diagnosis. Their comprehensive speech analytics platform supports clinicians to identify and monitor subtle changes in speech patterns in neurological disease.
What you'll be doing
Reading, analysing, criticising papers in fields such as representation learning, NLP, speech processing.
Generating novel research ideas and iterating on them in a very experimental fashion. Collaborating with the rest of the team, writing the research paper coming out of it.
Participating in brainstorming sessions and research meetings with our team or external advisors.
Contributing to the implementation of and maintenance of our MLOps pipeline.
Training large scale deep learning models and think deeply about why they might be making the predictions that they are making.
Developing our internal and open-source packages.
Writing production code to serve our trained models on the cloud.
5+ years of experience working with deep learning models in industry and/or academia.
Passionate about machine learning. You love reading papers, blog posts, talking about the latest trends or discussing ideas in front of a whiteboard.
A great engineer, capable of writing code in Python and one of PyTorch, TensorFlow, or another deep learning framework.
Excited about being part of a small, quickly growing startup. You want to be a part of our ambitious project. You do not mind the uncertainty that comes with early stage startups.
Working in healthcare is something that excites you.
Competitive salary and equity options arrangement.
28 days of paid holiday.
Flexible working arrangements, including hybrid remote work policy.
A deep sense of meaning, having a significant role in changing the way brain diseases are diagnosed, improving the lives of millions.
High degree of responsibility and the opportunity to grow into a senior role as the company scales.
Personal development plan and half a day per week to work on your own projects.
Authorship on high-impact papers.
Paid attendance at top machine learning conferences.