Join the Revolution at Leonardo.Ai!
Leonardo.Ai, an Australian tech startup, is on a transformative mission to democratise design and ignite the world's creativity through our groundbreaking AI-powered platform. With over 20 million users worldwide and counting, we're just starting!
The Role:
This is an exciting opportunity for AI or Machine Learning professionals and academics to join the brightest minds, helping Australia's most potent generative AI-powered platform unleash the world's creativity through novel tools for human-ai collaboration and intelligent systems.
As an AI Research Engineer, you will be involved in training, evaluating, and engineering the training/inference infrastructure for large models for intelligence in visual domains. You will also work with and interpret petabyte-scale data, build and optimise efficient systems for model research, and/or apply AI techniques to create novel user experiences. This role involves mentoring junior team members and playing a key role in strategic planning.
We are hiring across multiple disciplines in AI Research and would love to hear from candidates with foundational model training, data exploration, systems engineering, and optimisation backgrounds.
Responsibilities:
Solve engineering problems to optimise all aspects of model training from data loading to output over 1000s of GPUs.
Profiling and diagnosing points of latency and addressing in areas of low-level optimisation and network communications.
Design high-performance distributed systems inference and training.
Build infrastructure for working with complex multimodal data, such as video, imagery, 3D data types, text, and beyond.
Take AI research output from prototype to robust, scalable, production-ready code.
Collaborate with other technical teams on new features, improvements and platform stability.
Skills we like:
Proficient with building and managing AWS/GCP infrastructure.
Experience in Python, deep learning frameworks, cloud computing, and software engineering.
Optimising inference of models from data movement, compiling, pruning, or other techniques.
Deploying and optimising models that run over several GPUs.
Previous exposure with Torch, SageMaker, and CUDA.
Knowledge of Generative AI, particularly diffusion-based image generation and VLMs.
Engineering experience with deep learning, LLMs, computer vision, AI model training, and data pipelines.
AI model and system performance tuning and optimisation.
Team player attitude capable of collaborating with cross-functional teams.
Curious and stays on top of new and changing tools and techniques in the AI space.
Experience with machine learning algorithms and tools (e.g., Pytorch, JAX), artificial intelligence, deep learning, and natural language processing.
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.
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.
What's in it for you?
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.
Flexible leave options that empower you to recharge.
Support with your professional development.
Fun and engaging company events.
We encourage you to apply and start the conversation whether you're based locally in Australia or overseas.
Why Leonardo.Ai? Shape the Future of AI: Join us in revolutionising content creation.
Hybrid and Remote Options: Flexibility is key.
Benefits: We offer a generous package.
Diversity and Inclusion: We intentionally seek people from a variety of backgrounds.
Typical Interview Process While we love technology, our interview process is all human. A Talent team member will review your application, and we'll contact you either way to let you know the outcome. Here's what you can expect.
Round 1 - Meet Your Recruiter:
Our Talent team will arrange a 30-minute video call to cover your experience, skills, and career motivations.
Round 2 - Craft Interview:
You'll meet team members to discuss the technical task and cover past projects.
Round 3 - Technical Task:
You may be given a short take-home task to assess your skills.
Round 4 - Values Interview:
You'll meet with the Department Head for a short, informal conversation.
Important Information If there are any adjustments we can make that would make you more comfortable at any point in the interview process, please let us know.
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