Senior ML Engineer – Geospatial Vision for Ecology

SLR Consulting; Perth; Hybrid; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Growth opportunities

Job summary

Tyton Ecological Intelligence is seeking a Senior Machine Learning Engineer to evolve TytonAI, a large-scale computer vision platform for ecological classification. The role is hybrid in Perth, combining R&D and delivery across cloud environments and Linux.

You will own end-to-end ML systems, experiment with new ideas, and improve performance and scalability for global enterprise customers. A strong background in CV, PyTorch, and ML deployment is essential.

Qualifications

• 3+ years experience in Machine Learning with Computer Vision.
• Strong PyTorch and Python engineering skills.
• Experience deploying ML models to production and optimisation.

Responsibilities

• Improve TytonAI’s core computer vision capabilities (segmentation, classification, fine-tuning).
• Design, train, and deploy deep learning models for large-scale remote sensing and geospatial classification.
• Explore emerging ML techniques and translate ideas into production systems.

Skills

PyTorch

Python

Computer Vision

MLOps

Tools

Cloud (GCP)

Job description

Tyton Ecological Intelligence is seeking a Senior Machine Learning Engineer to evolve TytonAI, a large-scale computer vision platform for ecological classification. The role is hybrid in Perth, combining R&D and delivery across cloud environments and Linux.

You will own end-to-end ML systems, experiment with new ideas, and improve performance and scalability for global enterprise customers. A strong background in CV, PyTorch, and ML deployment is essential.