— You are a strong coder with deep technical knowledge including in Python
— Thorough understanding of machine learning concepts and ideally first practical experience
— Experience in managing, analyzing, and processing large scale datasets
— Experience with modelling distributed data processing and storage systems
— Strong software architecture skills and ability to base engineering decisions on product vision
— Strong knowledge of data structures, design patterns, and software engineering best practices
— Strong engineering background, preferably with academic training in Computer Science, Software Engineering, or equivalent practical experience
Ideally you also have:
— Experience with Django and Angular or any other JS MVC framework
— Experience with active learning or semi supervised learning
You’ll fit in with our company culture if you:
— are user centric and view technology as a tool to improve a user’s life
— have a bias for action; the world is complex and unpredictable place so starting, releasing, and getting feedback iteratively is the only possible path to success
— strive to be articulate and humble, make the complex, simple, present ideas openly, accepting that being wrong is part of the process
— are not afraid of tackling problems that others deem impossible
— thrive in an entrepreneurial team, adapt easily to change, and enjoy a fast-paced environment
Some of the benefits we offer:
— Directly shape the future of digital health
— Work with serial entrepreneurs
— Flat hierarchies, flexible vacation and working times
— Mario Kart in the office :-)
The role encompasses:
— Take over the development lead and product ownership of our data platform
— Build out and maintain our data processing pipeline that can handle terabyte scale video data and millions of images per day
— Build user friendly image and video annotation tools and custom data(set) management tools in Django
— Work on data strategy and take ownership of quality and accessibility of our main ML training datasets
— Work closely with our Core Machine Learning team as well as our DevOps team
Our Data Platform:
Every day we collect a big amount of image and video data. Our data platform automatically cleans and preprocesses the data and offers tools to pick, label, and bundled the data to make it usable for training our machine learning models.
Kaia is a mission focused medical technology company:
In 2016 we set out with the mission to make effective, evidence-based therapies available to patients who suffer from chronic diseases. As back pain is the number one cause of disability worldwide with over 1 billion affected people, we built our first product, a clinically-proven mind-body therapy app, to help people with back pain.
At Kaia, we take proven offline therapy techniques and transform them into app-based therapies. However, in this process, some important aspects of these therapies can be lost. Our focus at Kaia Health AI Lab is to bring back those aspects by leveraging machine intelligence. For example, our “Motion Coaching” technology allows users to get real-time feedback on how well they do their exercises. Motion Coach utilizes only the smartphone’s built-in camera and neural networks, and requires no additional hardware. Our app is the only one worldwide that can tell users if they are doing their exercises correctly. See trailer (www.youtube.com/watch?v=DakX48JNTJ4).
In the future, the AI Lab will also work on advancing our therapy personalization engine, as well as developing digital biomarkers for therapeutic purposes for our late-stage pipeline covering COPD, osteoarthritis, and Parkinson’s disease.