Applied Scientist - Canberra, Australia - Cerner

Description

At Oracle Cloud Infrastructure (OCI), we are shaping the future of the cloud for healthcare and
enterprises with a diverse team of creators and innovators. Our focus is on pioneering AI technologies,
specifically Generative AI. We are an established team with a proven track record of productizing
industry-leading AI solutions for Oracle Digital Assistant and Oracle Cloud AI services. As a trusted team,
we are rapidly expanding and developing Generative AI solutions for the healthcare and enterprise
domains. We operate in an agile environment with a substantial charter, high visibility, and support
from senior leadership. Additionally, we closely work with Oracle Cerner to make an impact to millions
of patients and revolutionize the healthcare domain.

As our Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an
emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in
delivering our new Generative AI-powered solutions for healthcare and enterprise customers.

We are hiring for Applied Scientist positions across all levels, including entry-level, Senior, Principal, and Senior Principal

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling , option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

Applied Scientist (all levels) - Generative AI

The exact responsibilities will depend on the level.

Responsibilities:

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
• Coordinate with multinational teams to drive projects from research POC to production.
• Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
• Lead and mentor both junior and senior applied scientists.
• Develop production code and advocate for the best coding and engineering practices.
• Participate in project planning, review, and retrospective sessions.
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

Qualifications and Experience:

• Demonstrated experience in designing and implementing scalable AI models for production.
• Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
• Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
• Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
• Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
• Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Experienced leading senior scientists and early-career scientists.

Bonus Qualifications:

• Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
• Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

Education:

• PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR
• Masters or Bachelor's in related field with 5+ years relevant experience

Locations:

• Melbourne
• Sydney
• Brisbane
• Canberra
• Perth
• Adelaide

Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference

The exact responsibilities will depend on the level.

Responsibilities:

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
• Coordinate with multinational teams to drive projects from research POC to production.
• Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
• Lead and mentor both junior and senior applied scientists.
• Develop production code and advocate for the best coding and engineering practices.
• Participate in project planning, review, and retrospective sessions.
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

Qualifications and Experience:

• Demonstrated experience in designing and implementing scalable AI models for production.
• Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
• Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
• Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
• Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
• Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Experienced leading senior scientists and early-career scientists.

Bonus Qualifications:

• Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
• Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

Education:

• PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR
• Masters or Bachelor's in related field with 5+ years relevant experience

Locations:

• Melbourne
• Sydney
• Brisbane
• Canberra
• Perth
• Adelaide

Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference