Palta is a multi-product tech platform developing several mobile apps focused on health and well-being with a combined audience of more than 50 million monthly active users. Our portfolio includes such successful companies as Flo (global leader in female health), Simple (12m+ downloads, the most popular intermittent fasting app in the US), Zing (personal fitness trainer), and more.
The rapid portfolio growth is fuelled by the recently raised $100 million in a series B round led by VNV Global.
Pora is a Beauty and Health AI assistant developed to democratize dermatology and cosmetology services. Our goal is to empower peoples' wellness and beauty with an ultimate tool for understanding and further improving their skin. We develop breakthrough AI solutions that combine deep knowledge of the user's condition with comprehensive competencies in skincare products.
We already have developed the iOS version of our app that is available in the US, Canada, and EU stores. It’s capable of:
What do we need
Also, we need to create some tools for internal use. For example, we’re using our own platform to collect dermatological labeling for our datasets. Also, we use crowdsourcing intensively to test our scenarios, and we need various tools to make the results of these tests transparent and easy to use.
We're looking for a solid professional to help us reach all these goals. You will be a single responsible person for the corresponding area, you’ll report directly to the CTO. All the results achieved in this role will directly impact our business goals and the quality of life of our users.
Why work with us
Should we mention that joining the startup in the very early stage means an opportunity to lead a large department in the observable future? Indeed we should! But it also means taking maximum out of the employee stock ownership plan. The fewer employees we have — the more shares we might offer. Join us while we're still small and benefit from our growth!
What we expect
Familiarity with TensorFlow will be considered as an advantage since we need to run ML models on the client side.
Our current team
The current team is pretty small: we have less than twenty team members 🙂 Most of our fellow colleagues are engineers — ML, backend, iOS, and web developers. The product team also includes several designers, product and project managers as well as UX researchers. We collaborate with many scientists to make sure our app is in line with the existing body of research.
Please join us in our adventure!
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