Senior Machine Learning Engineer - (GenAI)
Company: Leonardo Interactive Pty
Location: San Francisco
Posted on: May 14, 2025
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
- Private Healthcare
- Support with your professional development
- Fun and engaging company events, both virtual and
in-person
- 20 days annual leave
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Keywords: Leonardo Interactive Pty, Pleasanton , Senior Machine Learning Engineer - (GenAI), Engineering , San Francisco, California
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