Machine Learning Engineer at timescapes-co

Location: Sydney, New South Wales
Type: Full-time
Level: not_specified
Posted: May 21, 2026

Description

Timescapes, founded in 2017, is seeking a Machine Learning Engineer to join their expanding team. This role involves designing, developing, integrating, and supporting machine learning models, particularly focusing on computer vision, to enhance their visual progress tracking solution for construction projects. The engineer will collaborate with product and engineering teams, run experiments with large language models, and manage the ML lifecycle, including data handling and training.

Required Skills

Machine Learning Components
Computer Vision Models
End-to-End ML Operations
Large Language Models (LLMs)
Large Vision Models (LVMs)
Multimodal Models
ML Model Validation and Verification
ML Inference Infrastructures

Additional Information

Required Previous Experiences: Experience with the development and delivery of production-level software systems that feature critical machine learning components.
Experience with the development of computer vision models, from the data side as well as the model side.
Experience with end-to-end ML operations, including data acquisition, labeling, model training, pipeline design + management, continuous integration, model versioning, and performance monitoring.
Experience with leveraging LLMs, LVMs and multimodality models to augment product capabilities, including strong experimentation skills, and the ability to combine off-the-shelf commercial model capabilities with custom ML models.
Familiarity with methods for ML model validation and verification.
Experience deploying ML inference infrastructures for systems with high throughput.
Ability to develop ML-enabled product capabilities in the context of the entire SDLC, from initial concepts through detailed design, development, deployment and maintenance.
Preferred Qualifications: Experience with deep learning frameworks such as PyTorch.
Familiarity with inference engines like TensorRT.
Experience with developing edge ML applications.
Experience writing with .NET, C#, and Python.