AI Engineer

AI Engineer Join to apply for the AI Engineer role at Leonardo.Ai. About Us Leonardo.Ai is building one of the world’s most advanced generative‑media platforms, empowering millions of people to turn ideas into high‑quality images and videos in seconds. Now part of the Canva family, we’re scaling our global R&D team to make creativity faster, smarter, and more accessible for everyone. The Role We’re looking for an AI Engineer who enjoys working hands‑on across model development and ML systems, someone who wants to learn, ship real features, and grow in a high‑context, collaborative environment. What You’ll Do Model Development and Evaluation Collaborate with research scientists to adapt and fine‑tune diffusion and transformer‑based models. Run experiments and evaluate model outputs to improve quality and consistency. Contribute to performance improvements such as batching, caching, or quantisation with guidance. Help identify bottlenecks and opportunities for generation improvements. ML Engineering and Systems Development Build and maintain training and inference pipelines. Work with GPU environments on AWS and Kubernetes. Use Docker and internal tools to standardise training, experimentation, and deployment. Contribute to shared APIs and model‑serving components. MLOps and Reliability Support dataset handling, experiment tracking, and model versioning. Extend monitoring dashboards and alerts to maintain system performance. Maintain reproducibility across checkpoints, datasets, and experiments. Cross‑Team Collaboration Work with product teams to support integration of generative features. Share learnings and contribute to a supportive engineering culture. Skills We Value Strong Python engineering skills and familiarity with ML workflows. Experience with PyTorch or TensorFlow in project, research, or production settings. Understanding of model training or fine‑tuning. Interest in improving inference performance and efficiency over time. Clear, thoughtful communication and collaborative working style. Curious and comfortable learning in unfamiliar technical areas. Nice to Have Exposure to diffusion, transformer, or video generation models. Familiarity with AWS, Docker, Kubernetes, or GPU orchestration. Experience with monitoring or observability tooling. Open‑source, research, or personal ML project contributions. Background in creative‑tech, ML tooling, or SaaS environments. Why You’ll Love Working Here You’ll be building technology that directly enables human creativity at scale, not just optimising models in isolation, but shaping how real people express ideas, tell stories, and create art. You’ll join a team that values thoughtful engineering, shared context, and steady growth over ego or heroics. There is room to explore, room to ask questions, and room to develop depth in the areas that genuinely interest you. We work with curiosity, we build with care, and we learn from each other as we go. Our Culture Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. Flexible Work Environment: We understand the importance of work‑life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees across Australia, ensuring you can thrive both personally and professionally. Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity. Benefits A range of benefits to set you up for every success in and outside of work. Impact the future of AI. Reward package including equity. Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave. An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more. Flexible leave options that empower you to be a force for good, take time to recharge and support you personally, including remote working abroad. Support with your professional development. Fun and engaging company events, both virtual and in‑person. 20 days annual leave. Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet Location Melbourne, Victoria, Australia #J-18808-Ljbffr