Ardigen SA

Ardigen SA

Machine Learning Engineer

Offer parameters
home office work
mid, senior
Набір відкритий для українців
Recruitment open to Ukrainians
Kraków, Lesser Poland (Poland)
Podole 76

Technologies we use


Machine Learning process



About the project

We believe that integration of AI in the early-stage drug discovery process can significantly reduce cost & time, and improve the likelihood of success. We integrate the most recent advancements in AI (computer vision & AI-chem) with molecular biology and medicinal chemistry bridging the gap between cell imaging and the design of the desired small molecules. We develop AI Technology Platform enabling the identification of small molecule drug candidates changing the disease to a healthy state
At Ardigen, you will help in the development of Machine Learning systems for computer-aided drug design. The mission of our team is to increase the efficiency of the process of drug discovery through phenotypic screening and AI.

Your responsibilities

  • Working within an interdisciplinary team (Data Scientists, Software Engineers, Computer Vision Specialists) to productize Machine Learning research results
  • Designing, developing and deploying Machine Learning systems using an on-premise infrastructure
  • Delving into computational pipelines to optimize the execution time and resource consumption
  • Working in cooperation with a foreign client

Our requirements

  • 4+ years of relevant commercial experience
  • Degree in Computer Science, Software Engineering or related field
  • Strong programming skills in Python
  • Fluent in usage of NumPy, pandas, PyTorch, bash and git
  • Basic understanding of Machine Learning process (training, validation, evaluation, inference, cross validation, metrics)
  • Proficiency in English


  • Experience with Kubernetes
  • Experience in computer aided drug design
  • Experience working with phenotypic screening data
  • Experience working in a Scrum team
  • Experience with Nextflow
  • Experience with Docker
  • Experience with AWS cloud

This is how we organize our work

This is how we work


Development opportunities we offer

  • assistance in preparation to public speeches
  • conferences abroad
  • conferences in Poland
  • development budget
  • external training
  • industry-specific e-learning platforms
  • intracompany training
  • mentoring
  • soft skills training
  • space for experimenting
  • substantive support from technological leaders
  • support of IT events
  • technical knowledge exchange within the company
  • the company supports open source projects
  • time for development of your ideas

What we offer

  • An opportunity to shape the breakthrough solutions in the fight against cancer
  • Permanent position that can be adjusted to your preferences in terms of employment form ("UoP"/B2B)
  • Fully remote or hybrid working model
  • Flexible working hours
  • Mental health support
  • Multisport Card, Private Healthcare (LuxMed), Life Insurance
  • Yearly bonus up to 20% of your annual income
  • Clearly defined career paths, funding for professional development, trainings and conference attendance
  • Mentoring program
  • Internal library
  • Knowledge sharing sessions, company events, meetups, webinars, activity groups (professional, sports, hobbies)
  • By cooperating with a non-profit Foundation #CodeAgainstCancer we have a real impact in helping children with cancer
  • Work with world-class companies and institutions on the cutting-edge of Life Science industry
  • Experts community of tech specialists, scientists and people with passion for their craft


  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • flexible working time
  • integration events
  • corporate sports team
  • corporate library
  • no dress code
  • parking space for employees
  • opportunity to obtain permits and licenses
  • charity initiatives
  • Multisport Card
  • mental health support
  • knowledge sharing sessions
  • activity groups
  • mentoring program
  • experts community

Recruitment stages

  • 1.
    CV Review
  • 2.
    Technical Assessment
  • 3.
    Interview with the manager
  • 4.

Ardigen SA

Ardigen is harnessing advanced Artificial Intelligence methods for novel precision medicine. The company accelerates therapy development by designing immunity, decoding microbiome, analysing biomedical images and providing digital drug discovery services. Ardigen’s team is rooted in biology and holds deep expertise in bioinformatics, machine learning, and software engineering. The company’s in-house datasets together with advanced AI platforms empower the development of effective precision therapies.
Let’s grow together and code against cancer!
I apply to:
Ardigen SA
Ardigen SA
Kraków, Lesser Poland (Poland)
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