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Principal Applied Scientist

OracleAustralia

30+ days ago

Job description

At Oracle Cloud Infrastructure (OCI), we are shaping the future of the cloud for enterprise and healthcare customers 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 enterprise and medical 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 Principal 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 enterprise and healthcare customers.

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 AI models and solutions 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 or LLM models for production.

Practical experience with the latest technologies in LLM and generative AI, such as instruction finetuning, preference fine-tuning, and advanced prompt engineering techniques.

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 LLM evaluation frameworks 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.

Preferred Qualifications :

Knowledge or experience in developing models, evaluation systems, or datasets for LLM-based Agent is a significant plus.

Knowledge or experience in LLM evaluation, LLM leaderboard, and LLM inference acceleration and optimization is a plus.

Education :

PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centred in Machine Learning, Deep Learning, or Generative AI with 3+ years relevant experience is preferred but not a must; OR

Masters or Bachelor's in related field with 5+ years relevant experience

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!

Career Level - IC4