We are seeking an experienced Lead AI Research Engineer to join a high-impact research and technology program focused on developing advanced AI capabilities to support operational decision-making in a sensitive and highly regulated environment. This opportunity combines cutting-edge machine learning research with real-world deployment, offering the chance to design, build and evaluate AI solutions that address complex operational challenges.

About the Role

As the Lead AI Research Engineer, you will lead the design, development and operational evaluation of a secure human-in-the-loop AI system. Working closely with researchers, technical specialists and key stakeholders, you will translate complex operational requirements into practical and deployable AI solutions. The role combines technical leadership, applied research, software engineering and stakeholder engagement within a mission-critical environment.

Key Responsibilities:

- Lead the design and development of AI and machine learning solutions supporting complex operational requirements
- Develop and implement multimodal AI capabilities leveraging computer vision, natural language processing, audio analysis and similarity detection techniques
- Design, build and maintain secure, reproducible data processing, model training and evaluation pipelines
- Develop deployable software components suitable for secure and restricted environments
- Work closely with stakeholders to translate business and operational requirements into technical solutions and delivery outcomes
- Establish evaluation frameworks and testing methodologies to validate model performance, reliability and usability
- Conduct model assurance, adversarial testing and risk assessments




- Ensure solutions align with privacy, security, governance and responsible AI principles
- Prepare technical documentation, evaluation reports and deployment recommendations
- Provide technical leadership, mentoring and guidance across project teams and stakeholders

We are seeking an experienced Lead AI Research Engineer to join a high-impact research and technology program focused on developing advanced AI capabilities to support operational decision-making in a sensitive and highly regulated environment. This opportunity combines cutting-edge machine learning research with real-world deployment, offering the chance to design, build and evaluate AI solutions that address complex operational challenges.

About the Role

As the Lead AI Research Engineer, you will lead the design, development and operational evaluation of a secure human-in-the-loop AI system. Working closely with researchers, technical specialists and key stakeholders, you will translate complex operational requirements into practical and deployable AI solutions. The role combines technical leadership, applied research, software engineering and stakeholder engagement within a mission-critical environment.

Key Responsibilities:

- Lead the design and development of AI and machine learning solutions supporting complex operational requirements




- Develop and implement multimodal AI capabilities leveraging computer vision, natural language processing, audio analysis and similarity detection techniques
- Design, build and maintain secure, reproducible data processing, model training and evaluation pipelines
- Develop deployable software components suitable for secure and restricted environments
- Work closely with stakeholders to translate business and operational requirements into technical solutions and delivery outcomes
- Establish evaluation frameworks and testing methodologies to validate model performance, reliability and usability
- Conduct model assurance, adversarial testing and risk assessments
- Ensure solutions align with privacy, security, governance and responsible AI principles
- Prepare technical documentation, evaluation reports and deployment recommendations
- Provide technical leadership, mentoring and guidance across project teams and stakeholders

Skills & Experience:

- Proven experience designing, developing and delivering AI and machine learning solutions beyond proof-of-concept into operational environments
- Solid expertise in at least two of the following: computer vision, image/video classification, natural language processing, multimodal AI, similarity search, perceptual hashing or audio analysis
- Advanced Python development skills and hands‑on experience with machine learning frameworks such as PyTorch
- Experience building reproducible data pipelines, model training workflows, evaluation frameworks and deployable software solutions
- Strong understanding of machine learning performance metrics, including precision, recall, calibration, uncertainty management an

📌 Lead AI Research Engineer (Melbourne)
🏢 Calleo
📍 Melbourne