Student Researcher: AI for Supply Chain
Design, build, and deploy new approaches in machine learning that will have real-world impact.

Macro-Eyes has opportunities for Student Researchers for Master and PhD level students and recent graduates.

As a Student Researcher at Macro-Eyes, you will have the opportunity to push the boundaries of the field in supply chain — and AI — by building cutting-edge machine learning solutions. You will work on problems that bring a direct impact to saving lives and enabling governments to do more with less in extremely low-resource settings and environments. The problems we address need careful transformation of state-of-the-art machine learning techniques to enable robust performance with extremely sparse and noisy data.

What we will do together

  • Work on unique research problems that bring solutions to real-world problems.
  • Push the boundaries of ML techniques in computer vision, graph neural networks, and high-dimensional time-series forecasting.
  • Ship code: develop algorithms and software that will be part of our STRIATA product for enabling predictive supply chains.
  • Collaborate with a multicultural and completely remote team.
  • Document and publish your work at high-impact machine learning conferences.

What you will need

  • Current Master or PhD students in Computer Science, Statistics or a related field, or equivalent experience.
  • Strong research skills and background in at least one of the state-of-the-art machine learning techniques such as GNN, CV, NLP.
  • Sufficient experience with Python.
  • Self-motivation and self-management.
  • Ability to work in a fully remote setting.
  • Solid communication skills and collaboration experience.
  • Availability for a minimum of 12 weeks.

If this multi-dimensional opportunity is exciting, please apply here to be a Student Researcher at Macro-Eyes.

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