Director, Machine Learning

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

Imagine directing a world-class Machine Learning team on a path towards truly personalized medicine. This could be your reality by applying for this pivotal role!

We’re looking for a Director to lead our machine learning engineering team toward the forefront of personalized medicine and help us re-write the rule book on what’s possible in healthcare.

In this role, you will work with data scientists, analysts, product managers, engineers, and others to conceptualize and implement data-driven products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be in good company, working closely with our leading-edge Data Science team and sit within the wider Analytics and Data Science org. Giving you the opportunity to collaborate widely and work with a range of professionals in tackling novel problems. We have the data and the team, now we just need a superstar Director to guide our explosive technical development. Could that be you?

You Will:

• Lead a team of four Machine Learning Engineers in developing ML solutions across marketing, product, and operations as well as specific models to tackle medical recommendations 
• Collaborate with data scientists, engineers, product managers, and designers to build machine-learning based systems
• Help guide decisions based on your knowledge of the data and statistical applications
• Tackle novel challenges in predicting and prescribing personalized medicine to individuals
• Bring a broad awareness of the landscape of ML and …