Skills

Problem-solving Research Training Computer Vision Autonomy Robotics

Job Specifications

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.

About the Company

We are your Deep Tech recruitment specialists, driven by a mission to power progress in the world’s most exciting industries. We build high-quality connections through a dedicated community of AI specialists, bridging the gap between Deep Tech pioneers and world-class talent. Our consultants specialise in: - Computer Vision - NLP - Data Science - Machine Learning - C++ - Blockchain We are part of Trinnovo Group – united by a shared mission to build diversity, create inclusion and encourage workpla... Know more