At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation’s biggest problems with ingenuity, creativity, and a keen moral compass.
Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
As one of the first engineers on the Rewards ML/AI team, you will be crafting an innovative new mobile experience that will redefine the boundaries of health and wellness. Our mission is to improve health outcomes for patients using technology. You will leverage the latest AI advancements to solve real-world health problems. You will gain a profound understanding of the intricacies of the US health system. You'll join a ground floor effort to build products that engage patients in activities that dramatically improve health outcomes. Come join our dynamic team and become a pioneer at the nexus of healthcare, mobile, and AI.
This role is open to remote, but preference is given to candidates located in these areas: San Francisco Bay Area and Seattle Metro Area
In this role, you will:
We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $188,000 to $230,750. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.
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Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
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