Job description
Leonardo.Ai seeks a Senior Machine Learning Engineer to join our expanding global AI team.
At Leonardo.Ai, we are advancing our generative AI platform to empower millions, regardless of expertise, with intuitive tools for creating high-quality images and videos. Now part of the Canva family, we’re ready to build a world-class R&D team to seamlessly integrate AI products, tools, and features, making creativity limitless for nearly a quarter of a billion users.
The Role:
At Leonardo.Ai, we’re building one of the world’s highest-throughput GenAI platforms. As a Senior ML Engineer, you’ll play a key role in productionising and scaling generative models, particularly diffusion-based systems, across a large fleet of GPUs. You’ll partner with researchers, engineers, and product teams to deliver high-performance, real-world AI features millions use globally.
This is a hands-on, impact-focused role for someone who thrives on tackling technical challenges at scale, from model optimisation to deployment pipelines.
What You’ll Do:
Deploy at Scale: Build and maintain robust production pipelines that deploy generative models, including diffusion-based systems, across multiple services, each with 100s of GPUs
Power a Global Platform: Contribute to one of the world’s highest-throughput GenAI systems, generating millions of images and videos daily.
Optimise for Speed and Efficiency: Utilise quantisation, compilation, caching, distillation, and multi-GPU parallelism to enhance throughput, latency, and stability.
Push Model Innovation into Production: Collaborate closely with researchers to productionise new capabilities, such as LoRAs, ControlNets, and custom architectures.
Solve End-to-End Challenges: Tackle a wide range of problems — from orchestrating massive multi-GPU video pipelines to optimising end-to-end latency and hardening scalable workloads to run at global scale.
Skills We Love:
Generative AI Production Expertise: Proven experience deploying diffusion-based models (e.g. latent diffusion, LoRA, ControlNet) into production environments, ideally across dozens or hundreds of GPUs.
High-Performance ML Engineering: Proficiency in Python and PyTorch, with a focus on optimised inference, model tuning, and memory-efficient execution.
MLOps Fluency: Familiarity with model deployment tools and practices (e.g. model registries, workflow orchestration, CI/CD for ML).
Real-World Systems Thinking: Comfort with performance trade-offs, debugging large-scale systems, and delivering improvements fast.
Team Collaboration: Experience working in fast-moving, cross-functional teams shipping real-world AI products.
Adaptability: Ability to pivot quickly between deep technical work, product needs, and cross-functional alignment.
Please apply…
We’re realistic about experience, even if you haven’t worked at this scale before. We encourage anyone exposed to deploying generative models to production, working with techniques like LoRA or diffusion, and optimising inference across GPUs to apply for this role.
Our Culture:
Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.
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 all over Australia, ensuring you can thrive personally and professionally.
Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You’ll be encouraged to grow and excel in your career at Leonardo AI.
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.
Leonardo.Ai Benefits:
A range of benefits to set you up for every success in and outside of work. Here’s a taste of what’s on offer:
Impact the future of AI
Reward package including equity - we want our success to be yours too
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 supports 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
