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Job Description

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.

Oracle Generative AI Service is an exciting team in Oracle Cloud Infrastructure. We are delivering innovative services at the intersection of artificial intelligence and cloud infrastructure. In Generative AI Service team, you will build and operate massive-scale cloud services maximising state of art machine learning technologies. We are committed to providing the best in cloud products to meet the needs of our customers who are tackling some of the world’s most exciting problems.

You will be part of a team of inquisitive, hands-on scientists and engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact by designing and building innovative new systems to power our customer’s business critical applications.

As a Senior Machine Learning Engineer in Generative AI Service team, you will play a key role in shaping the future of Generative AI at Oracle, with an emphasis on Large Language Models (LLMs) and Multi-modality Models. Your contributions will be pivotal in delivering our new Generative AI-powered Agent services for large scale enterprise customers involving Retrieval Augmented Generation, Code Generation, AI Agent and other use cases.

Responsibilities:

• Develop new OCI services and features maximising recent advances in generative AI, machine learning and deep learning.

• Evaluate and benchmark AI models including LLMs, perform inference testing, optimise models and monitor model performance in production

• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.

• Contribute to the architecture of generative AI, including data, model, training, and evaluation, employing standard processes.

• Develop production code and advocate for the best coding and engineering practices.

• Participate in project planning, review, and retrospective sessions.

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.

• Good coding experience in Python and ML frameworks

• 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 knowledge of software systems in Cloud and software engineering concepts

Preferred Qualifications:

• Knowledge of LLM and experience delivering Generative AI And Agent models are a significant plus.

• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.

• Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

Responsibilities

• Develop new OCI services and features demonstrating recent advances in generative AI, machine learning and deep learning.

• Evaluate and benchmark AI models including LLMs, perform inference testing, optimise models and monitor model performance in production

• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.

• Contribute to the architecture of generative AI, including data, model, training, and evaluation, employing standard processes.

• Develop production code and advocate for the best coding and engineering practices.

• Participate in project planning, review, and retrospective sessions.

About Us

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 +1 888 404 2494, 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