Senior Research Engineer

About Novoic

Monitoring your brain health should be as easy as having a conversation. ‍

Our comprehensive speech analytics platform supports clinicians to identify and monitor subtle changes in speech patterns in neurological disease.

Position

• 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
• Participate in brainstorming sessions and research meetings with our team or external advisors, where we discuss and challenge each other’s ideas
• Contribute to the implementation of and maintenance of our MLOps pipeline
• Train large scale deep learning models and think deeply about why they might be making the predictions that they are making
• Develop our internal and open-source packages
• Write production code to serve our trained models on the cloud

Your qualification

• 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

What we offer

• 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