Senior Machine Learning Engineer - Australia

Role overview

Contribution areas

• Develop approaches to generate accurate electric networks from imperfect data using deep learning and classical machine learning.
• Develop and optimize training pipelines to reduce toil and shorten idea-to-evaluation time.
• Scale model serving for varied problems and reduce the time from initial model to production.
• Improve model QA speed and identify data and distribution drift.
• Work with LiDAR, aerial photography, photogrammetry, GIS, and other data sources.
• Build scalable data pipelines supporting model training and serving.
• Define which problems should be solved with machine learning and establish strategies for those problems.
• Apply current data-handling, MLOps, and machine learning practices to the platform.
• Mentor engineers in model training and software engineering best practices.

Desired attributes

• Demonstrated machine learning and deep learning experience is highly regarded.
• A strong software engineering foundation is highly regarded.
• Proficiency with PyTorch, TensorFlow, or JAX is highly regarded.
• Strong problem solving in new domains and effective asynchronous cross-functional work are highly regarded.
• Ownership of problems and a proactive approach to challenges are highly regarded.
• Current and unrestricted working rights in Australia are required for consideration.

Work environment

• The position is offered in a fully flexible work environment, with an office in Redfern.
• The team values innovation, ownership, collaboration, development, and tangible real-world impact.

Benefits

• The package includes competitive salary and a meaningful employee share ownership plan.
• The company offers regular office events and work on a complex, innovative product with real-world impact.