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.