Senior Machine Learning Engineer (Computer Vision)

Job Description

Senior Machine Learning Engineer (Computer Vision)
Sydney | Full-time | Hybrid (3 days per fortnight)

The Mission
A Sydney-based engineering team builds perception systems that inspect critical infrastructure in the real world. Think crack detection on dams and corrosion detection on heavy industrial assets. This role exists to build new computer vision and ML capability, then carry it all the way into production.

Not a demo. Not a research island. End-to-end ownership.

What You’ll Work On
• Designing and shipping ML and computer vision systems across multiple software platforms
• Building scalable pipelines for image and 3D/spatial data (point clouds, meshes)
• Developing production-grade models and data processing workflows (Python, PyTorch/TensorFlow, scikit-learn, NumPy, Pandas)
• Handling uncertainty in sensors, data quality, and operating environments
• Taking ML components from PoC through to product features that are reproducible, monitorable, and maintainable
• Validating performance and robustness against real customer requirements
• Communicating trade-offs, limitations, and technical risk clearly to stakeholders
• Partnering with product and engineering to shape feature scope, priorities, and delivery plans
• Improving team practices through documentation, mentoring, and pragmatic engineering standards

The Way This Team Works
• Extreme ownership: engineers steer from ideation to requirements to build to production
• Cross-functional by default: product, ops, data capture, platform engineering, global stakeholders
• Flexible work patterns: outcomes matter, not clock watching
• High retention: people stay because the problems are hard and the impact is real
• This is a long-game role with room to shape your lane, whether that’s technical depth, product influence, or leadership over time

What Matters Here
• 4+ years of hands-on applied ML and computer vision experience (detection, segmentation, classification, 3D reconstruction)
• Strong Python and modern ML framework experience
• Solid software engineering fundamentals (Git, testing, modular design)
• Comfortable in Linux environments
• You can navigate ambiguity without freezing or over-processing
• You can own a feature like it’s your baby and run it to maturity
• Clear communicator across technical and non-technical audiences

Nice To Have
• Deep experience working with 3D data (point clouds, meshes, spatial workflows)
• Robotics, SLAM, sensor fusion, or autonomy-adjacent background
• CI/CD, deployment workflows, orchestration tooling, and production monitoring patterns

Apply / Enquire
Apply directly or email Toby Tank at [email protected] with your CV or a short note on what you’ve shipped in production (especially in CV, 3D, robotics, or sensor-driven ML).