Optimization Scientist
Bend supply chains towards resiliency and impact: solve for crucial issues in the world’s most challenging environments.

MACRO-EYES is recruiting an Optimization Scientist. This role will involve design/build of optimization models for our core product and deployment specific work, designing how our technology engages networks in the real world. Save lives; Put a dent in climate change; Enable organizations to do more with less; Have a purpose.

MACRO-EYES is a venture-backed technology company shifting the supply chain line of sight, making it possible for supply and demand networks to respond precisely to what will come next, rather than responding to what's past. The first major investment in AI by the Bill & Melinda Gates Foundation was in MACRO-EYES; today our technology works for corporations and governments across 10+ countries – saving lives and driving unit economics. We create more from less by making pervasive systems intelligent. We work towards a world where nothing is wasted and where each resource generates the greatest impact.

Join a diverse, talented, international Machine Learning team led by our Chief Scientist and MIT professor Suvrit Sra. We constantly face challenges beyond the limits of known theory and models. You will co-build the first product to make supply chains truly self-improving - enabling organizations to do far more good with the resources they have and to decarbonize. You will create transformative solutions the world has never seen – ML+Optimization pipelines, integrated end-to-end that form products, deployed globally, to make supply chains capable of auto-calibrating against risk and opportunity. Real science and real-world impact. Lives lie in the balance. The ideal candidate will be excited by the fact that the work we will do together is largely without precedent.

Why now?

Crisis forces change. Global supply chains are fracturing. Organizations realize that supply chains must become more resilient in the face of unprecedented change while also decarbonizing. Double-digit rates of unnecessary waste (logistics to manufacturing to what's on the shelf) is unsustainable. Many global challenges are as much allocation problems as they are resourcing problems; where and when you send supply is as important as how much supply you have.

The time is now to reshape supply chains. We’ve shown it’s possible to automatically, precision match supply to demand in some of the most challenging settings on earth. Today we serve some of the most demanding customers in the world. Time to scale.

Fierce drive to use optimization for meaningful change is the most important characteristic you bring. Complement that with a solid background in ML, good knowledge of statistics, along with experience in working with real-world (messy) data. Desire to publish is a plus. Demonstrated ability to make meaningful contributions that resonate in the real world to efforts with an open-ended research flavor is valuable.

  • PhD in industrial engineering, operations research, operations management, management sciences or in a quantitative field
  • Solid understanding of machine learning and statistics
  • Desire to continually learn and grow; open-mindedness
  • Think in terms of data, not just algorithms.
  • Hands on experience in developing optimization models.
  • Experience in using existing solvers. Highly desired: experience creating customized optimization algorithms.
  • ‘Small data’ experience: demonstrated ability to develop and implement creative approaches for making optimization algorithms perform with imperfect, noisy data.
  • Experience with reinforcement learning is a plus.

Warning: the work will not be like doing optimization at Big Tech: the data will be very far from pristine and what’s required for success is much harder than throwing a series of existing solutions 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.

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. Macro-Eyes has been fully remote since 2013; We have nearly a decade of experience in creating high-performance, global teams. In continuation of defying the trend, we are opening 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 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.

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