Top AI Jobs in Melbourne

The role involves developing AI features, conducting research, collaborating with teams, creating prompts, and evaluating search queries for AI systems in Japanese.

The Director of Engineering will lead the Core Experiences Camp, overseeing platform engineering, team growth, and technical decision-making while ensuring alignment with the company’s overall tech vision.

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.

The Reserve Engineer maintains and repairs robotic hardware, provides customer service, collaborates with teams, and assists in robotics deployment.

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

The Senior AI Modeller will develop and deploy AI solutions, collaborate with teams, mentor others, and stay updated on AI advancements.

The role involves designing and implementing Bunnings' digital cloud platform on Azure, managing CI/CD pipelines, and maintaining operational tooling for performance management.

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.

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.

Lead and deliver complex engineering initiatives using AI technologies. Mentor junior engineers, define architectural standards, and oversee innovation in engineering processes.

The Senior Software Engineer will enhance AI capabilities in a cloud-based DXP, requiring full stack development experience in Typescript, Node, React, and AWS.

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

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.

As an AI Engineer, you'll engage with customers to understand their needs, deploy AI models, and create scalable systems to enhance customer workflows.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.