8 months ago
Sydney, AustraliaSenior
Responsibilities
- Design and implement machine learning systems focused on large language models and foundation models.
- Develop AI-powered features for document understanding, financial forecasting, and conversational interfaces.
- Build scalable workflows to train, deploy, and monitor machine learning models using AWS services including SageMaker and Bedrock.
- Lead projects from ideation through production and implement MLOps practices for robust and efficient solutions.
- Optimize AI systems for scalability, safety, and reliability on AWS infrastructure.
- Collaborate with product managers, engineers, and other stakeholders to align technical solutions with customer and business goals.
Requirements
- Proficiency with machine learning frameworks such as TensorFlow and PyTorch.
- Experience with large language models and foundation models such as GPT, Claude, and Llama.
- Experience with AWS services including SageMaker, Bedrock, and S3, as well as cloud-based architectures.
- Expertise in machine learning CI/CD pipelines, model versioning, monitoring, and containerization using Docker and Kubernetes.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Relevant certifications such as AWS Certified Machine Learning – Specialty are highly desirable.
- Ability to work effectively in uncertain, zero-to-one environments and build influential systems from scratch.
Benefits
- Flexible hybrid workplace with centrally located offices and in-person celebrations and social events.
- Financial assistance for setting up a home office, plus corporate discounts and retail vouchers.
- Wellbeing support through the Sonder partnership.
- In-house training, development programs, LinkedIn Learning, conferences, and study assistance.
- Multiple leave options, including up to four weeks of purchased leave, parental leave, domestic violence leave, transgender leave, community leave, and study leave.
- Access to employee communities focused on wellness, belonging, and the planet.
Tech Stack
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