4 days ago
Melbourne, AustraliaStaff+
Responsibilities
- Lead the architectural design of scalable, reliable, and high-performing AI solutions.
- Lead AI projects from conception and research through proof of concept, production deployment, and delivery.
- Make strategic technical decisions with visibility and impact at the executive level.
- Coordinate technical leaders and multinational cross-functional teams to deliver AI models and integrate them into services.
- Apply Generative AI, machine learning, and deep learning advances to healthcare applications.
- Design and review data management, model development, and evaluation approaches.
- Develop production-level code and promote robust coding and engineering practices.
- Lead and mentor junior and senior applied scientists, senior scientists, and early-career researchers.
- Participate in planning, reviews, and retrospectives while identifying and mitigating business and engineering risks.
Requirements
- Demonstrated experience designing and deploying scalable AI models in production and delivering real-world solutions.
- Proven experience leading AI projects from conception through deployment and managing cross-functional teams.
- Ability to translate complex technical concepts into actionable strategies aligned with organizational goals and timelines.
- Deep technical knowledge of machine learning and deep learning architectures, including Transformers, training methodologies, and optimization techniques.
- Hands-on experience with LLMs and Generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, prompt engineering, and agent technology.
- Practical experience with LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, MLFlow, LMQL, and Guidance.
- Strong commitment to applying current academic research to complex business challenges and production systems.
- Robust publication record with lead authorship in top-tier journals or conferences.
- Experience leading and mentoring senior scientists and early-career researchers.
- Eligibility to work in Australia without sponsorship.
- Preferred: healthcare domain knowledge and experience delivering healthcare AI models.
- Preferred: familiarity with computer vision and multimodal modelling.
- A PhD in a related field focused on machine learning and deep learning with 3+ years of relevant experience, or a related master's or bachelor's degree with 5+ years of relevant experience.
Benefits
- Competitive benefits including flexible medical, life insurance, and retirement options.
- Volunteer programs supporting employee community involvement.
- Accessibility assistance and workplace accommodations are available.
- The role is based in Australia and requires eligibility to work there without sponsorship.
Tech Stack
MLflow
Categories
AI ResearchML Engineering
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.