Machine Learning Jobs in Australia
7 open roles, updated daily
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Join xAI as a Team Lead, Human Data Operations for Vision, Image & Video. Hands-on leadership role with global remote options. Apply today.
Join xAI as a Team Lead, Human Data Operations for Vision, Image & Video. Hands-on leadership role with global remote options. Apply today.
Apply for the Senior Software Engineer AI/ML role at ClickHouse in Australia. TypeScript, React, and AI product development. Salary $147K-$238K.
Apply for the Senior Software Engineer AI/ML role at ClickHouse in Australia. TypeScript, React, and AI product development. Salary $147K-$238K.
Join xAI as an Expert Team Lead, SWE. Lead AI tutoring operations, manage data quality, and drive model performance. Remote and global options available.
Join xAI as an Expert Team Lead, SWE. Lead AI tutoring operations, manage data quality, and drive model performance. Remote and global options available.
Apply for the Senior Technical Program Manager, Applied AI role at Lilt in Sydney. Drive data operations for LLMs and multimodal models remotely.
Apply for the Senior Technical Program Manager, Applied AI role at Lilt in Sydney. Drive data operations for LLMs and multimodal models remotely.
Join Neara in Sydney for a Strategy & Operations role in AI & Engineering or Generalist tracks. Hands-on execution, competitive salary, and ESOP.
Join Neara in Sydney for a Strategy & Operations role in AI & Engineering or Generalist tracks. Hands-on execution, competitive salary, and ESOP.
Apply for the Strategic Solutions Engineer role at ClickUp in Australia. Drive partner revenue and AI enablement in this remote-flexible position.
Apply for the Strategic Solutions Engineer role at ClickUp in Australia. Drive partner revenue and AI enablement in this remote-flexible position.
Apply for the Senior Machine Learning Engineer role at Neara in Sydney. Build production ML pipelines, GPU infrastructure, and scalable MLOps platforms.
Apply for the Senior Machine Learning Engineer role at Neara in Sydney. Build production ML pipelines, GPU infrastructure, and scalable MLOps platforms.