AI Innovator

2 weeks ago


Adelaide, South Australia beBeeInnovator Full time $120,000 - $150,000
Senior AI Innovator

As a Senior Machine Learning Engineer, you'll work on cutting-edge projects that enable millions of users to create high-quality images and videos with ease.

The Role:
  • You'll collaborate with researchers to bring new models from prototype to production and ensure they deliver meaningful value.
  • Build and maintain production pipelines for diffusion-based and related generative models.
  • Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.
  • Tackle complex challenges like orchestrating multi-GPU video pipelines while ensuring systems are intuitive and maintainable.
Expertise & Infrastructure:
  • Develop and maintain automated pipelines covering training, deployment, monitoring, and retraining.
  • Build CI/CD workflows for machine learning that make handovers from research to production seamless and safe.
  • Create scalable data pipelines and storage solutions to support high-throughput workloads.
  • Set up clear monitoring and alerting for model performance.
Platform Acceleration:
  • Be embedded in other teams to support high-impact projects requiring deep ML expertise.
  • Develop shared tooling, reusable workflows, and architecture patterns that help teams build and ship faster.
  • Promote knowledge-sharing, best practices, and scalable solutions across the organisation.
Key Skills We Require:
  • Generative AI Experience: Deploying diffusion-based or similar generative models into production.
  • MLOps Expertise: Building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
  • Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Terraform.
  • Performance & Efficiency: Techniques such as quantisation, distillation, caching, and distributed inference.
  • Data Foundations: Designing scalable data pipelines and storage solutions.
  • Engineering Craft: Strong Python skills and a focus on writing clear, maintainable code.
  • Collaboration & Growth: Thriving in cross-functional teams and supporting others' success.
Our Company Culture:
  • Inclusive Environment: Celebrating diversity and creating an environment where everyone feels valued.
  • Flexible Work Arrangements: Enjoying flexibility to work remotely or from our offices.
  • Personal Growth: Prioritising your development and offering continuous learning opportunities.
  • Impactful Work: Shaping the future of AI together.

We're open to experience and encourage anyone exposed to deploying generative models to apply for this role.


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