Top AI Jobs in Sydney

Lead and develop a high-performing engineering team for AI product delivery, managing software methodology and fostering growth within the team.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

As an AI Engineer, you will build and maintain AI-driven customer support tools, overseeing the end-to-end operations of conversational AI services and ensuring compliance with data privacy regulations.

As an AI Engineer, you will design, develop, and deploy AI-powered applications, integrating models and optimizing performance while working in cross-functional teams.

Join the AI team of Squiz as a Software Engineer to enhance the Digital Experience Platform, focusing on AI integration and large-scale software development.

As an AI Technical Solutions Lead, you'll develop scalable back-end systems utilizing AI technologies, collaborate with teams, and optimize applications for performance.

The Research Engineer develops models and prototypes using AI, ML, and optimization to solve supply chain problems and quantify business value.

Develop AI agents, integrate solutions with existing systems, and maintain evaluation platforms while collaborating with teams and debugging systems.

Contribute to AI training by crafting questions and ranking code generated by AI models. Flexibility in hours and remote work is offered.

Help train AI models by crafting questions related to computer science and evaluating AI-generated code. Requires proficiency in coding and Simplified Chinese.

This job involves coding expertise for training AI models, crafting computer science-related questions, and evaluating AI-generated code. Fluency in Traditional Chinese is required.

Welo Data seeks fluent Indonesian speakers for remote tasks in AI training including annotation, evaluation, and prompt creation, offering flexible opportunities.

Welo Data seeks native Nepali speakers to join a flexible talent community, contributing to AI projects involving annotation, evaluation, and data generation, with growth opportunities.

As a Principal Engineer, you will lead the development of scalable search systems, improve architecture, mentor teams, and define technology strategy.

The AI Backend Engineer will develop scalable backend systems, collaborate with frontend teams, and mentor junior engineers while promoting technical excellence.

Lead AI development projects by delivering innovative software solutions, collaborating with cross-functional teams, and deploying advanced AI models to address complex challenges.

Build a new brand data platform using generative AI. Own product development from MVP to market fit, collaborating across teams.

The Backend AI Engineer will operationalize AI tools for Compass, collaborating on scalable solutions, enhancing user experiences, and fostering AI fluency across teams.

Responsible for developing AI search agents and RAG pipelines, optimizing performance, and monitoring production environments while ensuring accuracy and efficiency.

The AI and Automation Engineer will adopt AI and automation technologies, upskill the workforce, and develop solutions to business challenges using innovative tools.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, ensuring cultural relevance and accuracy, while collaborating with interdisciplinary teams.

The MLOps Engineer will operationalize ML and AI solutions, manage ML pipelines, implement CI/CD processes, monitor deployed models, and collaborate with teams to integrate AI products.

This role involves conducting generative AI research, designing agent architectures, running experiments, data engineering for LLMs, and integrating models with multi-modal capabilities.

The role involves training AI language models by evaluating code, crafting computer science questions, and providing coding expertise in Polish.

As a Software Engineer for AI Training, you will create technical questions, review AI-generated code, and provide feedback on code quality and debugging strategies.