We are looking for an exceptionally talented machine learning engineer with a good theoretical grasp of machine learning and optimization. You will work with our lead scientist in building and applying a new generation of AI adapted to real industrial problems.

We imagine you are having a math-heavy background and be familiar with the various algorithms and concepts used in machine learning. Additionally, any experience in differential equations and modelling of dynamic systems will be welcome. On the other hand, extensive experience with existing deep learning frameworks are not necessary.

We offer fun colleagues, work in an exciting startup, international environment, flexible work conditions and edgy technology a generation ahead of Big Tech.

Responsibilities:

Train neural networks.

Modelling and optimization of industrial processes.

Building optimization of industrial processes.

Building optimization engines.

Develop algorithms.

Identifying tasks, value and data together with customers.

Requirements:

Machine learning.

Mathematical Optimization.

Code optimization.

General knowledge of physics/engineering.

Experience in Matlab, Python or similar.

Will be a plus:

Differential Equations/Simulations.

Knowledge of compiled languages.

Experience in Reinforcement learning/MPC.

Familiarity with deep learning libraries.