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Machine Learning Scientist: Supply Chain
Bring the force of your knowledge to global health and crucial supply chains to solve desperate problems in the world’s most challenging environments.

Macro-Eyes is recruiting for a Machine Learning Scientist: Supply Chain to 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.

The Macro-Eyes team is spread across Africa, Europe, and North America. We believe in recruiting the best talent in the world, regardless of location. This role will be fully 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.

  • Dive into messy and unconventional data to build ML models for social good
  • Build models based on empirical results, and understanding of the strengths and limitations of this approach.
  • Be aware of and provide current best practices in machine learning.
  • ‘Small data’ experience: develop and implement creative approaches for making machine learning work with limited conventional data.
  • Make meaningful contributions to projects with a research flavor
  • Experience working with diverse data types including images, structured data and natural language
  • Experience programming in Python, and one additional language (R, C, C++, Java)
  • Experience building different deep neural network models or knowledge of graph theory is preferred
  • Knowledge of statistics, including hypothesis testing with parametric and non-parametric tests and basic probability
  • Solid background in machine learning

We’re excited if you also have these capabilities:

  • Experience working with teams using Agile development processes.
  • Experience with international donor-funded projects.

What we ask of you:

  • Take a task and run with it - there’s very little hierarchy.
  • Speak up. We all learn every day. Ask for help, say when you need something.
  • Be forthcoming and accountable. About time, scope, questions, needs, options, deliverables.
  • Be nice to work with. Nothing extraordinary was ever achieved alone.
  • Exercise a product frame of mind: persistent drive to design and build structures that are repeatable and scalable.
  • Demo, Deploy, Repeat. Think about how to show, rather than tell, what you’re building. Engage with real systems and real world data as soon as possible to validate and learn.

What you need to bring:

  • Comfortable working with small groups in a fast-paced environment with cross-functional teams.
  • Energy, boundless curiosity, open-mindedness.
  • Willingness to learn and grow.
  • Respect for audiences and users. Willingness to step into someone else’s shoes (and the imagination to do so).

Why you want to work with us:

  • Real-world impact and state-of-the-art science. We develop technology and products that save lives and help organizations do more with fewer resources. We break new ground in AI by creating systems that learn from sparse, complex data in some of the most challenging environments on earth.
  • We are growing rapidly and engaged in many of the most important issues of our time. Being part of MACRO-EYES is rich in opportunity.
  • Competitive compensation and generous benefits.
  • Work with an amazing group of people.
  • Work from almost anywhere. 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 largely remote, high-performing team. In continuation of defying the trend, we will open our first physical offices in 2022. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person.

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.

Disclaimer: Due to large volumes of applicants, only shortlisted candidates will be contacted.