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AI Model Development Specialist

3 weeks ago

Adelaide, South Australia beBeeMachineLearning Full time $120,000 - $180,000
Senior Machine Learning Engineer

This is an exciting opportunity to join our team as a Senior Machine Learning Engineer, where you will play a key role in developing and maintaining production-ready AI models.

Job Description:

  • 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.

Required Skills and Qualifications:

  • Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
  • MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
  • Infrastructure & Cloud: Hands-on with AWS, Kubernetes, Docker, and Infrastructure-as-Code tools.
  • Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
  • Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
  • Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.

Benefits:

  • 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, social connection, office setup & more.
  • Flexible leave options that empower you to be a force for good, take time to recharge and support you personally, including remote working abroad.

Join Our Team:

  • Be embedded in other teams, from Generations to Enterprise, to support high-impact projects requiring deep ML expertise.
  • Develop shared tooling, reusable workflows, and architecture patterns that help teams across build and ship faster.
  • Promote knowledge-sharing, best practices, and scalable solutions across the organisation.