Vue d'ensemble

The Company

GaussML helps manufacturing companies reduce their production costs by efficiently finding better settings for their machines. We provide an AI assistant that suggests parameters for the operators to try on the machine and report back their performance. Our AI quickly understands the complex interactions between all parameters, saving time and resources during set-up and increasing the output during series production.

Join us today to build our vision for parameter optimization: an AI that learns the physics behind each process, and can then make better suggestions with the same intuition as a human expert.

 

Lead Machine Learning Engineer

As a machine learning engineer at GaussML you will:

  • Build pipelines and interfaces that help our customers get parameter suggestions and report results
  • Define the data architecture to handle production processes with different number and type of parameters
  • Develop, train, test, deploy and maintain our AI

We are looking for a highly motivated team player with

  • Relevant experience developing and maintaining AI services
  • The discipline to deliver high quality code in a fast-paced, collaborative environment
  • Bonus: Experience with Bayesian Optimization and/or production machines
  • Exceptional candidates can develop this role into a CTO position.

The role is remote, but candidates in Baden-Württemberg are preferred. Candidates living elsewhere are still encouraged to apply!

 

What we offer

  • Salary and shares
  • Career opportunities at a growing startup
  • All the working equipment you need

À propos de GaussML

Parameter suggestion engine to optimize production machines

GaussML provides a parameter suggestion engine to help manufacturing companies optimize their production. Our algorithm efficiently creates an internal model of the machine, quickly making sense of the effect of each parameter to the output desired by the customer. By using our service, manufacturing companies can increase their production and reduce their waste. Our service is suited for companies with one or more production lines, especially when the production settings are changing due to new products coming in or different quality of raw materials coming from suppliers.

Must Have

Machine Learning, AI, DevOps, Python, Good communication, Team spirit, English language

Nice to have

Bayesian Optimization, Production machines, MLOps, German language

Méthodologie(s)

DevOps

Avantages

Full remote possible. Equity: 5.0% – 20.0%.

Infos Complémentaires

Location: Ukraine / Remote.