MACRO-EYES is an AI company. Our technology makes crucial systems predictive. Predictive systems are resilient.
We have a mandate to deliver social impact, global presence and an international machine learning team led by MIT faculty. The Macro-Eyes team has built and shipped cutting-edge machine learning systems that run at large US health systems and on-device in the most challenging environments in the world. MACRO-EYES is supported by the Bill & Melinda Gates Foundation, the Draper Richards Kaplan Foundation, private investors and USAID and has partnered with Stanford, UNICEF, the Government of Tanzania, the Government of Mozambique, the Government of Sierra Leone, and Direct Relief. Accenture spotlighted MACRO-EYES product Sibyl as critical digital health technology of the future.
Macro-Eyes is working towards a future state in which the delivery of care is predictive everywhere; where supply chains that deliver essential goods anticipate need and predict demand down to the individual and ensure the right resource is used at the right time — personalizing care, increasing access, and making scarce resources serve more people in need. You will build the future.
The Macro-Eyes team is spread across Zambia, Kenya, Germany, Switzerland, South Africa and works from all corners and peninsulas of the United States. We believe in recruiting the best talent in the world, regardless of location — particularly now! This role will be remote with the freedom to choose how and when to work. Our remote team was executing at the highest level before COVID-19, and we expect to continue to be a fully remote, high-performing team. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person. Macro-Eyes has a rigorously horizontal culture that values diversity of every kind.
Macro-Eyes is dedicated to building an inclusive workforce where diversity is valued. Macro-Eyes is an equal opportunity employer. Every qualified applicant will be considered for employment. Macro-Eyes does not discriminate based on race, color, religion, gender, gender identity or orientation, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Warning: the work will not be like doing data science at Big Tech: the data will not be pristine and what’s required for success is much harder than throwing a series of models at the problem. We expect you to think in terms of hypotheses and experimental design like a scientist and have the drive and ingenuity of a hacker with hands-on experience building predictive models.