Senior Machine Learning Scientist

Sydney (Hybrid) | Permanent | ~$245k Package + Options

Did Someone Say Greenfield?

We're partnering with a venture-backed deep tech company creating a new generation of affordable, high-performance thermal sensors with the potential to reshape how we interact with the world around us.

From energy efficiency and human activity sensing to privacy-first security, their platform blends proprietary hardware with cutting-edge on-device AI to deliver real-time, meaningful insights without compromising user trust.

The Role
This isn't just a senior ML role. It's an opportunity to:

• Architect a greenfield ML system. No legacy code or prebuilt pipelines
• Design, train, and test neural networks optimised for edge
• Solve real-world problems using noisy, sensor-derived data (not just ImageNet)
• Work on a product that blends AI, hardware, and impact
• Help shape the roadmap with the founding team

Mentor and uplift a capable junior team hungry to learn

The Challenge
Their current system is a proof of concept. It works, but it won't scale. They need someone who can come in and rethink the entire AI architecture, working from first principles to build something elegant, efficient, and production-ready.

You'll be the go-to ML expert, collaborating closely with embedded engineers, product leaders, and the executive team.

Skills & Experience

• Strong experience building and training custom deep learning models (ideally CNNs for vision)
• Proficiency in Python, PyTorch or TensorFlow
• Comfort designing for embedded and edge environments (Jetson, Movidius, NPU etc.)
• Bonus: Experience with thermal, IR, or non-RGB sensors
• A background in R&D, early-stage tech, or product innovation
• An appetite for ambiguity, autonomy, and building something that actually ships
• Must be an Australian Citizen.

Perks

• Greenfield ownership. Your architecture. Your models. Your build
• Be part of a team with strong backing, real traction, and a big vision
• Collaborate across disciplines. Not siloed in a giant org
• Work that's intellectually stimulating and tied to real-world impact
• Equity upside in a company with a global future

How to Apply
Click Apply below. Or reach out to Kristen Brinker () if you're curious to learn more, or if you're happy to refer someone in your network.