Senior Machine Learning Engineer — Geospatial Vision

SLR Consulting

City Of Vincent

Hybrid

AUD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Flexible hybrid work
Perth-based, practical, low-ego team

Job summary

Tyton Ecological Intelligence (Tyton) is expanding TytonAI, a large-scale computer vision platform for ecological classification. We seek a hands-on Senior ML Engineer to own ML systems end-to-end, from experimentation to production pipelines, with a focus on performance, reliability, and scale.

This permanent, full-time role is based in Leederville, WA, with a transition to Subiaco next year. You will work on deep learning for high-resolution imagery, geospatial pipelines, and cloud workflows

Qualifications

  • 3+ years experience in ML 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
Computer Vision
PyTorch
Python
Model deployment

Tools

PyTorch
Python

Job description

Tyton Ecological Intelligence (Tyton) is expanding TytonAI, a large-scale computer vision platform for ecological classification. We seek a hands-on Senior ML Engineer to own ML systems end-to-end, from experimentation to production pipelines, with a focus on performance, reliability, and scale.

This permanent, full-time role is based in Leederville, WA, with a transition to Subiaco next year. You will work on deep learning for high-resolution imagery, geospatial pipelines, and cloud workflows

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