Flo is the most popular health & fitness app globally, used by 190+ million women around the world, with 41 million monthly active users.
At Flo, they’ve created a unique mobile product to help women put themselves first. Using the power of data science, AI, and the knowledge of 80+ medical experts, Flo supports women during their entire reproductive lives and provides curated cycle and ovulation tracking, personalized health insights, expert tips, and a private community to share questions and concerns.
They're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts — all building an app that generates long-term value to their millions of users worldwide. Engineers aren’t just building a better product, they’re making the world a better place by improving access to important health information. They leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips. In this role you own the end-to-end Machine Learning Pipeline together with CI/CD for the ML Engineering process. You focus on code, versioning of datasets, models and production endpoints to allow ML Engineers to collaborate, experiment and scale fast.
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The strength of Flo is built on the capability of its talent. In recognition of this they offer:
Flo is an international team of highly skilled top talent. They have ambitious and challenging objectives and are committed to granting their team the freedom to explore. Team`s core cultural values are based on engaging teamwork, continuous improvement, and smart transparency. Their mission fuels their everyday work, and they’re proud of the impact they’re making.
The strength of their workforce is in the diverse backgrounds of their employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence.
Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.
Flo - самое скачиваемое health-приложение в США и Европе в 2019г. В основе продукта алгоритмы искусственного интеллекта и фокус на безопасности данных.
