Responsibilities
1️⃣ You will push the state of our proprietary physics-informed ML framework(s) to the next level
2️⃣ You will develop and train end-to-end models
3️⃣ You will develop AI for Good → You won’t target ads, optimize signup funnels, or recommend anything for anyone to click on.
Qualifications
Must Have
✅ Excellent programming, debugging, and analytical skills.
Our team loves writing clean, bug-free, and maintainable mathematical code. We take teamwork to the extreme and hence even for research projects, we still place a high bar for code clarity and robustness.
✅ Experience in constructing and training sophisticated Deep Learning models
✅ Solid understanding of mathematical modeling, differential equations, numerical methods, matrix computations
✅ Embrace Koidra’s Culture
Preferred Qualifications
✅ Background in computational mathematics/physics/chemistry, scientific computing, control theory, or a related area
✅ Experience with Deep Learning fundamentals. We value candidates who
- are able to construct new models (as opposed to using stock CV/NLP models);
- understand the hierarchies and computational flow through each building block.
✅ Experience in building models for time series or sequential data (e.g. in NLP)
✅ Familiarity with and strong interests in one or more of the following machine learning research areas: Graph Neural Network, Model-based Reinforcement Learning, Uncertainty Quantification
Benefits
✅ Competitive compensation in a fast-growing startup
✅ Active and agile working environment
✅ Opportunity to impact the global stage in big ways