About the Company

We’re supporting a venture-backed AI company building cutting-edge surgical AI systems focused on video understanding. Their initial product transforms surgical videos into structured clinical reports - a focused entry point into a much bigger vision: developing a large-scale surgical foundation model, ultimately enabling advanced perception systems and autonomous surgical robotics.

This is a deep-tech team building models from first principles - not treating AI as a black box. They combine ambitious research goals with real-world deployment in high-stakes medical environments.

The Role

Our client is hiring a Computer Vision Engineer who operates at the intersection of research and production.

This is not a pure research role - and not just product engineering. They’re looking for someone who can:
  • Deliver research-grade innovation
  • Write clean, scalable, production-ready code
  • Move fluidly between experimentation and deployment
You will work on state-of-the-art video understanding systems that convert unstructured surgical footage into structured intelligence.
This role is central to their long-term roadmap toward advanced autonomy.

What You’ll Work On
  • Designing and training advanced video understanding models
  • Extending image-based CV architectures into temporal domains
  • Working with multimodal and potentially 3D data (point clouds beneficial)
  • Building scalable training pipelines, including distributed training
  • Bridging research prototypes into production systems
  • Contributing to publications at leading AI conferences
  • Collaborating closely with a highly technical founding team
What They’re Looking For

  • Technical Background
    • Strong foundation in Computer Vision on images
    • Experience in video understanding
    • Exposure to 3D data / point clouds (beneficial)
    • Experience with model training pipelines and optimization
    • Ability to implement research papers quickly and robustly
    • Strong software engineering fundamentals
  • Research Mindset
    • Track record (or clear potential) for top conference-level work
    • Ability to derive models from first principles
    • Deep understanding of modern CV architectures
  • Problem-Solving
    • Comfortable working in ambiguous environments
    • Strong analytical and structured thinking skills
    • Able to tackle unfamiliar domains effectively
  • Collaboration & Product Awareness
    • Understands real-world constraints and client needs
    • Comfortable working closely with cross-functional teams
    • Thrives in a collaborative environment (not a solo contributor role_
Why Consider This Opportunity?
  • Meaningful Impact - Building AI systems that support safer surgical procedures and improve access to care.
  • Big Technical Vision - Report generation is the entry point. The broader roadmap includes foundational models and advanced autonomy systems.
  • Genuine Deep Tech - This team is building core models and infrastructure from the ground up.
  • Publication & Credibility - Publishing at leading conferences is part of the company’s DNA.
  • Strong Talent Density - You’ll work alongside highly technical peers in an ambitious, research-driven environment.