6 hours ago
Sydney, AustraliaStaff+
Responsibilities
- Lead strategically important AI/ML initiatives and shape architecture and engineering practices.
- Design, build, deploy, and operate end-to-end ML products, pipelines, and services.
- Own the production ML lifecycle, including experimentation, versioning, evaluation, deployment, monitoring, and continuous improvement.
- Establish evaluation frameworks to track performance, detect drift, and maintain quality at scale.
- Develop and optimise LLM, relevance, retrieval, ranking, and generative AI solutions.
- Leverage or fine-tune third-party models, embeddings, transformers, and LLMs in production.
- Build and evolve data and feature foundations for real-time and batch inference.
- Contribute to shared ML platform capabilities and raise engineering quality through mentoring and technical guidance.
- Act as an AI/ML engineering subject matter expert and champion ethical and compliant data use.
Requirements
- Deep experience delivering production AI/ML systems across machine learning, ML engineering, MLOps, software engineering, and modern LLM-based solutions.
- Experience leading complex technical initiatives from discovery and solution design through planning and delivery.
- Expertise across the full ML lifecycle, including data preparation, training, evaluation, inference, deployment, observability, and optimisation.
- High proficiency in Python and SQL, with strong software engineering practices including test automation and CI/CD.
- Ability to evaluate ML approaches, tools, and trade-offs for business and product problems.
- Strong leadership and mentoring skills with experience uplifting engineers and influencing technical direction.
- Excellent communication and stakeholder management skills across technical and non-technical audiences.
- Strong ownership of production systems with a focus on reliability, quality, and continuous improvement.
- Ability to work collaboratively across product, machine learning, engineering, data engineering, and consumer experience disciplines.
Benefits
- Permanent role based in Melbourne or Sydney.
- Hybrid and flexible approach to working.
- Flexible leave options, including birthday leave and the option to purchase additional leave.
- Flexible parental leave for primary and secondary carers.
- Because We Care program with volunteering leave, community grants, matched payroll giving, and a Community Café supporting charity.
- Hackdays and opportunities to contribute ideas and professional growth initiatives.
Tech Stack
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