About the job

Champion Data has an exciting opportunity for an experienced and dedicated Senior Computer Vision Engineer to join our team! The Senior Computer Vision Engineer will innovate, design, develop, and deploy real-time computer vision systems for elite sport. This deeply technical role will contribute to officiating support technology for the AFL and offers the chance to join a world‑first innovation project from the ground up—conducting research and rapid development to deliver optical tracking products. The role spans object detection and tracking, multi‑camera systems, 3D geometry, low‑latency models, production‑grade deployment, and MLOps.

Key Responsibilities

- Design and implement real-time computer vision algorithms for sport in a multi-camera, latency constrained environment.
- Build robust 3D reconstruction pipelines for problems including ball and player tracking under strong occlusion and noise.
- Build, train and evaluate state-of-the-art deep learning models for problems such as object detection, segmentation, action recognition, event detection and pose estimation.
- Conduct rapid experimentation to quickly validate ideas.
- Contribute to the development of CV/ML solutions across the entire product lifecycle, from ideation/experimentation to POC/MVP to production.

Production Deployment

- Package and deploy CV models to edge and cloud compute.
- Monitor solutions and deploy iterative improvements based on observed performance and stakeholder feedback.
- Write maintainable, well-tested, production ready code,



and work closely with software engineers and architects to productionise successful experiments and proof of concepts.
- Design scalable solutions that are suitable for the resource constraints.
- Collaborate with a team of CV engineers, AI engineers, software developers and data analysts, and engage in weekly code/algorithm review meetings.

About You

- 4+ years of industry or research experience in computer vision (prior experience in sport highly regarded but not required).
- Strong experience with contemporary deep learning models for computer vision (e.g. CNNs, Vision Transformers, VAEs, GANs etc.)
- Experience with common computer vision paradigms including object detection (e.g. YOLO, SSD models), multi-target object tracking (e.g. SORT, DeepSORT), action recognition and pose estimation.
- Experience with multi-camera systems, including a familiarity with projective geometry.
- Proven experience developing computer vision solutions in real-time or latency constrained environments.
- Expert level Python programming including strong experience with common CV/ML and scientific libraries, such as PyTorch, OpenCV, NumPy, SciPy, scikit-learn etc.
- Demonstrated experience working across the entire CV model life-cycle,



from rapid experimentation to deployment and monitoring using best practice MLOps.
- Experience working with large volumes of visual data in a real-time context.
- Familiarity with software and MLOps best practices including version control, containerisation, and model and data traceability.
- Familiarity with cloud platforms a plus (e.g. GCP).
- Excellent communications skills and an ability to communicate with technical and non-technical stakeholders.

Benefits

- Mindful Me Days : Four days per year dedicated to your wellbeing
- Flexible Working : Our team works globally in a hybrid environment, which includes two weeks per year, during which you can work remotely from anywhere worldwide.
- AUS Office : Access to a newly renovated office in Southbank, Melbourne.
- Our spaces : all of our offices have great end-of-journey facilities; including showers, wellness/prayer room & games
- Employee Assistance Programs: 24/7 Access to financial support and counselling
- Wellness Incentive: To help support your home office setup or contribute towards a wellness activity/service of your choosing
- Get to the Game: Funds towards tickets for you and your family/friends to attend sporting events globally.
- Advance You Learning and Development: Annual budget to spend on learning and development activities plus Brain Block Time , this is time set aside monthly to learn or study.
- LinkedIn Learning: Access to an external learning platform LinkedIn Learning
- Social Events: Including an annual Family Day & Volunteer Day

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📌 Senior Computer Vision Engineer (Melbourne)
🏢 Champion Data
📍 Melbourne