Healthcare is quickly moving digital. Physicians are treating patients online more than ever, but they don’t have the patient vitals they need to do their job. We are an AI startup focused on unlocking the digital health revolution by making health measurement ubiquitous. Our products will turn your smartphone into a medical device, enabling the measurement of a multiple biomarkers using just the hardware already in your pocket. Our technology is based on cutting-edge research from one of the top AI for Health research labs in the world – the University of Washington Ubiquitous Computing Lab.
We are seeking a Machine Learning Scientist to build deep learning algorithms for our suite of smartphone health sensing products. In this role, you will work alongside world leaders in AI for healthcare to develop, train, and evaluate new ML models to measure important health metrics.
We would love for you to join us in making quality healthcare more accessible to patients around the globe.
To be successful in this role, it would help if you have:
Passion for building tools that can meaningfully impact the healthcare industry
Curiosity for the latest research in deep learning
Collaborative spirit and willingness to work closely with colleagues toward a shared goal
Growth mindset and desire to continually improve your technical skills
Principal-level experience and MS or PhD in computer science or related field
3+ years experience as a hands-on, expert-level practitioner of machine learning
2+ years designing and developing deep learning algorithms
Expertise in Python and ML frameworks such as Tensorflow and Pytorch
Strong understanding of deep learning model architectures such as convolutional/recurrent neural networks and transformers
Knowledge of the state-of-the-art in deep learning and a passion for reading and implementing papers
Ability to effectively multi-task and adapt within a fast-paced environment