Job Summary
- Technical Skill:
- Machine Learning ,
- Deep Learning ,
- Python ,
- PyTorch ,
- Numpy ,
- Rust ,
- Claude
Job description
Overview of job
- Build and train machine learning models with physical constraints
- Work on simulation, optimization, and control problems
- Apply ML to real-world systems (not just offline experiments)
- Collaborate with software engineers to bring models into production
Job Requirement
- Strong background in Machine Learning / Deep Learning
- Experience with numerical methods, simulation, or physics-based modeling
- Comfortable working with Python (NumPy, PyTorch, etc.)
- Ability to turn theory into real-world applications
Bonus / Strong signal
- Experience with Rust (small but high-signal community — strong Rust engineers tend to be highly capable)
- AI-native workflow: integrating AI tools (e.g., Claude Code, Codex) across the development lifecycle — from problem exploration and coding to debugging and iteration
- Experience with control systems / optimization
- Background in physics / engineering
- Experience deploying ML systems
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- Machine Learning
- Deep Learning
- Python
- PyTorch
- Numpy
- Rust
- Claude
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.