Computer Vision Engineer

Who we Are

At Six Floor Solutions we build the technology that lets sports and news organisations unlock the full value of their video. Our platform uses computer vision and machine learning to process live or archived video streams, automatically detecting key moments, generating highlights, and producing broadcast-ready content without relying on any external statistics or data feeds.

The output? Clips, automated summaries, editing libraries and APIs that plug straight into a broadcaster's or club's existing workflow. Our clients range from global broadcasters to professional clubs and federations across football, tennis, American football, basketball and more.

We are a growth-stage company with an ambitious roadmap and a tight-knit team that cares deeply about craft. If you want your algorithms to be watched by millions of sports fans, this is the place.

The Role

This is a core engineering position with real ownership. You will take full responsibility for our vision pipeline from, research and prototyping through to production, building the algorithms that make real-time, automated video understanding possible at scale.

You will work directly with our engineering leads and product team, bridging the gap between cutting-edge CV research and the production systems that broadcasters and clubs depend on every matchday.

What you'll do

• Research, design, and develop advanced real-time computer vision algorithms, including multi-object tracking, detection, classification and segmentation, that work reliably under live broadcast conditions.
• Own and continuously improve our in-house models: evaluation, gap analysis, re-training and fine-tuning to keep performance sharp across sports and camera setups.
• Write high-performance, well-documented production code primarily in C , with Python for R&D and experimentation.
• Collaborate closely with backend and frontend engineers to ensure seamless, reliable integration of the vision pipeline into the broader platform.
• Review code and mentor engineers, you will raise the bar for the whole team.
• Contribute to the technical direction of the vision stack, bringing your own ideas and research insights to the table.

What we are looking for

• 5–8 years of hands-on experience building and shipping computer vision applications in production environments.
• Strong proficiency in both C (production) and Python (R&D), with solid software engineering practices: version control, CI/CD, unit testing.
• Deep expertise in OpenCV and/or comparable computer vision libraries.
• Strong algorithms and mathematics fundamentals — you are comfortable reasoning about geometry, optimisation and probability.
• A Master's degree (or equivalent practical depth) in Computer Science, Electrical Engineering or a related field with a focus on CV/ML.
• Familiarity with Linux systems and video processing tools such as FFmpeg or GStreamer.
• Hands-on experience with PyTorch or TensorFlow for deep learning model development.
• Experience with real-time or low-latency video pipelines.
• Exposure to sports video, broadcast systems or sports analytics is a genuine plus, you will understand the problem domain intuitively.

Who you are

• The strongest candidates for this role tend to share a few things in common:
• You move fluidly between research and engineering. You can read a paper, evaluate whether it solves your problem, and ship it, without needing months of runway.
• You care about the product, not just the model. You want to see your work running live on a Champions League match, not sitting in a notebook.
• You are self-directed and take ownership.

  You do not wait to be told what to fix.

• You communicate clearly. You can explain a complex model decision to a product manager or a frontend engineer without losing nuance.
• You are curious and restless about the state of the art, you read papers for fun.

What we offer

• Genuinely hard problems. Real-time CV at scale, across multiple sports and broadcast environments, this is not a solved space.
• Impact. Your algorithms will directly power content seen by millions of fans and used by top-tier global broadcasters and clubs.
• Competitive, experience-based compensation, we are flexible and will move for the right person.
• A learning culture. Conference attendance, courses and personal development are part of how we work, not an afterthought.
• Flexible working hours. We care about output and collaboration, not when you log on.
• A small, highly skilled and genuinely friendly team based in Lisbon, hybrid setup with a great office culture.