
AI Infrastructure Developer
1 week ago
Location: Sydney, Adelaide, Australia, Brisbane, Melbourne, Perth
We're looking for a Senior Machine Learning Engineer to join our team. The successful candidate will work on developing and maintaining production pipelines for diffusion-based generative models, optimising inference for speed, reliability, and efficiency.
The role involves collaborating with researchers to bring new models from prototype to production, building and maintaining automated MLOps pipelines, and developing scalable data pipelines and storage solutions.
You'll be responsible for:
- Collaborating with researchers to develop and deploy generative AI models
- Building and maintaining production pipelines for diffusion-based models
- Optimising inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism
- Developing scalable data pipelines and storage solutions
The ideal candidate will have:
- Experience deploying generative AI models into production
- Knowledge of MLOps and infrastructure-as-code tools
- Skills in Python, Docker, Kubernetes, and Terraform
- Ability to design and implement scalable data pipelines and storage solutions
Benefits include:
- Competitive salary and equity package
- Inclusive parental leave policy
- Annual Vibe & Thrive allowance
- Flexible leave options
- Support with professional development
- Fun and engaging company events
Apply now if you're passionate about machine learning and eager to take on a challenging role in a dynamic team.
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