The Macro-Eyes Machine Learning Scientist: Supply Chain will build cutting-edge machine learning that powers products for crucial supply chains: save lives + enable organizations to do more with less. You will create transformative solutions the world has never seen. We are working on unsolved problems at the nexus of state-of-the-art of machine learning and crucial supply chains: the first predictive supply chain for health; a new, deployed system for understanding demand for lifesaving care; computer vision and deep learning to automate ground-truth data collection when compute has to run entirely on-device; deep learning on satellite imagery to derive features that help us understand the ‘context for care;’ location inference accurate to within 25M when GPS is unreliable; human-in-the-loop machine learning with experts on the frontlines to learn what we don’t know and generate real-time insight. Go beyond theory: what you build will become products, deployed across the developing world — and for some of the most sophisticated consumers of technology in the world — to shift crucial supply chains from reactive to proactive, capable of anticipating risk and opportunity for governments and corporations. Your work will save lives.
Responsibilities in this role include: Strong drive to use ML for social good, and solid background in machine learning. Statistics and experience working with messy data are a plus. Python fluency needed. Demonstrated ability to make meaningful contributions to projects with a research flavor is valuable. The successful candidate will be excited by the fact that the work we will do together is largely without precedent.
MACRO-EYES is an AI company. Our technology makes crucial systems predictive. Predictive systems are resilient.
Radical thinking is at our core.
MACRO-EYES technology makes crucial systems predictive. Predictive systems are resilient, enabling our customers to save lives and extend the impact of scarce resources.
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.
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Disclaimer: Due to large volumes of applicants, only shortlisted candidates will be contacted.