Job Summary
- Technical Skill:
- Deep Learning ,
- NLP ,
- Graph Neural Network ,
- Machine Learning
Job description
Overview of job
- You will push the statur proprietare of oy physics-informed ML framework(s) to the next level
- You will develop and train end-to-end models
- You will develop AI for Good → You wonʼt target ads, optimize signup funnels, or recommend anything for anyone to click on.
Job Requirement
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
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
a/ are able to construct new models (as opposed to using stock CV/NLP models);
b/ 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: Physics-informed Deep Learning, Graph Neural Network, Model-based Reinforcement Learning, Uncertainty Quantification
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- Deep Learning
- NLP
- Graph Neural Network
- Machine Learning
COMPETENCES
- Analytic Skills
- Teamwork
BUSINESS PROFILE
Koidra is the leading provider of intelligent automation solutions.
Our mission is to empower manufacturing facilities including high-tech greenhouses, wood pellet plants and food processing factories to meet their production and sustainability goals while keeping costs down.
Our interdisciplinary approach combines machine learning, IoT, Math, Physics, and expert knowledge to enhance operational precision and efficiency beyond human capabilities. Our intelligent automation solutions enable operators to increase their span of control and reduce dependence on human expertise. We make industrial automation smarter, easier to deploy and evolve, hence, more scalable.