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Machine Learning Scientist
Cutting-edge machine learning that powers products for the developing world: save lives + enable governments to do more with less. We will do work together that is largely without precedent.

Groundbreaking AI for true social good.

Build and implement machine learning to shape the future of health care. Our work is supported by the Bill & Melinda Gates Foundation, USAID, and private investors.

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 health care: the first predictive supply chain for health, a new model for understanding demand for health services, computer vision and deep learning to automate ground-truth data collection and audit critical supply chains, deep learning on satellite imagery to derive features that help us understand the ‘context for care’, human-in-the-loop machine learning with frontline health workers 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 to determine how governments understand - and drive - demand for life-saving health care and address life-threatening illness.

If this challenge is intriguing, please get in touch with *careers@macro-eyes.com * macro-eyes is working towards a future state in which the delivery of care is predictive everywhere, where health systems anticipate health needs 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. We believe that the first health system with AI at its core will be in the developing world. You will build the future.

Ad-Optimization it is not. We believe that the state of the art in machine learning will come from confronting fundamental challenges in the most difficult environments in the world. Engage where the problems are hardest and AI too will benefit: smarter, faster, cheaper.

macro-eyes is the AI company rebuilding the foundations of health care to make the delivery of care predictive everywhere. We have a mandate to deliver social impact, global presence and an international machine learning team led by renowned MIT faculty. The macro-eyes team has built and shipped cutting-edge machine learning systems that run at large health systems in the US 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, and USAID and has partnered with Stanford, UNICEF, the Government of Tanzania, and the Government of Mozambique. Accenture spotlighted macro-eyes product Sibyl as critical digital health technology of the future.

Expected qualifications

Strong drive to use ML for social good, and solid background in machine learning. Statistics and experience working with messy data 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.

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.

Experience/Abilities:

  • hands on experience building predictive models

  • happy to dive into data

  • building models based on empirical results, and understanding of the strengths and limitations of this approach

  • experience working with diverse data types including images and structured data and natural language

  • Experience programming in Python, and one additional language (R, C, C++, Java)

  • Aware of current best practices in machine learning

  • Knowledge of statistics, including hypothesis testing with parametric and non-parametric tests and basic probability

  • Experience building different deep neural network models or knowledge of graph theory is preferred

  • ‘Small data’ experience: demonstrated ability to develop and implement creative approaches for making machine learning work with limited conventional data.

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 performing at a high level before COVID-19 and we expect to continue to be a fully remote 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.

Competitive compensation and generous benefits.

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.