Careers

Kardiolytics Inc. is a Chicago-based Artificial Intelligence company specializing in Cardiology. The company was founded in 2018 by a pioneer in Data Mining and Big Data Learning - Paul Lewicki PhD (the founder of StatSoft and STATISTICA) and a surgeon Kris Siemionow MD, PhD (the founder of Holosurgical, a digital surgery company acquired by Surgalign) and it includes a team of clinicians, researchers, and AI software engineers. The headquarters and one R&D center are located in the US (Chicago), two other R&D centers are in Poland (Poznan and Zabrze).

Currently, we are looking for:

AI/ML Engineer

At KARDIOLYTICS we’re developing cutting edge machine learning-based cardiological diagnostics. We have open positions for AI/ ML Engineer. Looking for an interesting job in an international, multidisciplinary team? Why not contact us? We don't need ninja-level skills nor 20+ years of experience. If you're willing to work hard, you'll grow along with the company in a stimulating, exciting, fun environment.

What will you do?

  • develop algorithms for automated 3d modeling of heart vessels, parameterisable methods for structural analysis and computational fluid dynamics for the purpose of medical diagnostics;
  • implement tools for desktop software supporting the operations using knowledge of 3D graphics, cloud computing and simulations;
  • take part in the development and optimization of our automated diagnostics pipeline;

What is required?

  • intermediate level programming skills in Python;
  • familiarity with scientific Python stack (Pandas, NumPy, SciPy, scikit-learn, ...)
  • experience with PyTorch framework;
  • version control software (Git or equivalent);
  • advanced communication skills in English (spoken and written - B2/C1 equivalent or above);
  • creativity and analytical skills;

What isn’t required, but would be nice to have?

  • education: Bachelor’s, Master’s, or PhD degree in Computer Science or any other related field;
  • some knowledge of AWS operation and services and related technologies (containers, Terraform, Docker, etc.);
  • link to your code portfolio.

Benefits:

  • actual influence on the product – you won’t be just a cog in the machine;
  • opportunity for personal growth;
  • collaboration with a dynamic, multidisciplinary team;
  • flexible working hours.