Senior ML Engineer - Geospatial Vision (Hybrid)

SLR Vision Interface System; Western Australia; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Flexible hybrid work

Small, high-calibre team

Job summary

Tyton Ecological Intelligence is seeking a Senior Machine Learning Engineer to evolve TytonAI, our large-scale computer vision platform for ecological classification. This hands-on role combines R&D and delivery, owning ML systems end-to-end from experimentation to production pipelines.

You will work on deep learning for high-resolution imagery, geospatial pipelines, and cloud workflows for global customers. Relocation may be considered to support base locations in Australia.

Qualifications

• 3+ years experience in Machine Learning with Computer Vision.
• Strong PyTorch and Python engineering skills.
• Solid understanding of training, evaluation, deployment, and optimisation.
• Experience maintaining or extending existing ML codebases.
• Strong problem-solving ability with real-world data.

Responsibilities

• Improve TytonAI's core computer vision capabilities (segmentation, classification, fine-tuning).
• Ideate, design, and run experiments focused on customer impact.
• Design, train, and deploy deep learning models for large-scale remote sensing and geospatial classification.
• Explore emerging ML techniques.
• Translate research ideas into production systems.
• Identify performance bottlenecks and improve inference speed, memory usage, and cloud efficiency.
• Contribute to platform architecture and technical direction as the product scales.
• Build tooling for training data, evaluation, and batch inference.
• Work within cloud environments (primarily Google Cloud) and Linux environments.
• Maintain documentation and engineering standards.

Skills

Machine Learning

Python

PyTorch

Research-to-Production

Problem-Solving

Tools

PyTorch

Python

GCP

Linux

Job description

Tyton Ecological Intelligence is seeking a Senior Machine Learning Engineer to evolve TytonAI, our large-scale computer vision platform for ecological classification. This hands-on role combines R&D and delivery, owning ML systems end-to-end from experimentation to production pipelines.

You will work on deep learning for high-resolution imagery, geospatial pipelines, and cloud workflows for global customers. Relocation may be considered to support base locations in Australia.