Highly Skilled Machine Learning Engineer Wanted

7 days ago

Sydney, New South Wales, Australia beBeegenerativeai Full time $90,000 - $120,000

Transforming AI with Generative Models

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As a Senior Machine Learning Engineer, you will contribute to the development of one of the world's highest-throughput Generative AI platforms.

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We are building innovative tools and products that empower creativity for nearly a quarter of a billion users. This is an opportunity to be part of a team that makes a meaningful impact in the field of AI.

">The Role:">
  • ">
  • You will collaborate with researchers to bring new generative models from prototype to production, ensuring they deliver meaningful value.">
  • Develop and maintain production pipelines for diffusion-based and related generative models (e.g., LoRA, ControlNet).">
  • Optimize inference for speed, reliability, and efficiency using techniques such as quantization, distillation, caching, and multi-GPU parallelism.">
  • Tackle complex challenges like orchestrating multi-GPU video pipelines while ensuring systems are intuitive and maintainable.">
">MLOps & Infrastructure:">
  • ">
  • Design and implement automated MLOps 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 (e.g., Prometheus, Grafana, CloudWatch).">
  • Design secure, reliable infrastructure on AWS (S3, EC2, SageMaker) using Infrastructure-as-Code tools like Terraform.">
">Platform Acceleration:">
  • ">
  • Partner with 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 organization.">
">

What We Value:

">
  • ">
  • Generative AI experience and deployment of diffusion-based or similar models into production.">
  • MLOps expertise and skills in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.">
  • Infrastructure and cloud knowledge, including AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).">
  • Performance and efficiency skills, focusing on quantization, distillation, caching, and distributed inference.">
  • Data foundations expertise, designing scalable data pipelines and storage solutions (SQL/NoSQL).">
  • Engineering craft skills, writing clear, maintainable, and collaborative code in Python.">
  • Collaboration and growth mindset, thriving in cross-functional teams and supporting others' success.">
"],

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