R&D Engineer (Computer Vision)

TL;DR

R&D Engineer (Computer Vision): Driving applied research in deep learning and computer vision to create feasible prototypes and technology demos with an accent on transformers, diffusion models, and image processing. Focus on implementing proof-of-concepts, fine-tuning generative models, and bridging academic research with business product development.

Location: Ukraine (Remote/Office)

Company

Global technology company providing R&D and software engineering services to clients worldwide.

What you will do

• Conduct feasibility studies and develop proof-of-concepts for technological advances in AI and Computer Vision.
• Prototype and create deep technological demos to implement vision in new research areas.
• Manage the full research lifecycle from hypothesis and academic presentation to product architecture and development.
• Present research outcomes and coordinate work at global conferences, meetups, and scientific events.
• Consult internal and external clients on cutting-edge technologies, solutions, and industry trends.
• Support business development efforts, including technical presales and marketing presentations.

Requirements

• 3+ years of experience in OpenCV, deep learning, or computer vision.
• Practical experience (1+ year) with transformers and diffusion models, specifically Stable Diffusion.
• Degree in Computer Science, Engineering, or a related science field (Applied Mathematics, Physics preferred).
• Proficiency in at least one deep learning framework (PyTorch, TensorFlow, or Caffe).
• Highly skilled in C++ and Python, with knowledge of Cloud fundamentals (GCP, AWS, or Azure).
• English: Upper-Intermediate (B2) proficiency required.
• Location: Must be based in Ukraine.

Culture & Benefits

• Opportunity to work at the intersection of academic research and business needs.
• Engagement with global technology and scientific communities.
• Flexible work arrangement with remote and office options.
• Exposure to cutting-edge innovation consulting methodologies.