Deep Learning Infrastructure Engineer

Research & Development

Kharkov or remote

September 30, 2021

The project is dedicated to bringing realistic and precise 3D modeling to medical consultations. Our core team is currently seeking for developers with strong infrastructure background for the role of Deep Learning Infrastructure Engineer. The focus of this role is on scaling the training and evaluation of deep learning models as well as of data processing pipelines.

Responsibilities

  • Design a scalable infrastructure for training large deep learning models across multiple instances;
  • Scale and automatize data processing pipelines;
  • Implement and maintain infrastructure for deep learning;
  • Close collaboration with research and development teams.

Requirements

  • Degree in Computer Science / Deep Learning or equivalent;
  • 2+ years experience in C++/ Python;
  • 2+ years experience with Docker containers;
  • Have publications in top-tier conferences of computer vision;
  • Experience with distributed training and/or data processing.

Bonus points for

  • Experience with Kubernetes;
  • Experience with distributed training with Keras and TensorFlow.

We offer excellent benefits, including but not limited to

  • People-oriented management without bureaucracy;
  • Competitive compensation; 
  • Flexible schedule;
  • 15 working days of annual paid vacation;
  • Paid sick-leaves;
  • MackBook 50/50;
  • Friendly and engaging professional team;
  • An opportunity for self-realization, career and professional growth;
  • Accounting and legal support.

Application form

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.