GenAI PhD Applied Scientist - Oracle Cloud Infrastructure (OCI)

Job Description

Intended for students graduating with their Doctorate degree by December 2025, or have graduated within 12 months of start date.

The Program :

Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact.

The Team :

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 deliver innovative services at the intersection of artificial intelligence and cloud infrastructure. In the Generative AI Service team, you will build and operate massive-scale cloud services leveraging state-of-the-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 challenging problems.

The Oracle Cloud infrastructure business is growing at an incredible 52% annually. This kind of growth results from Oracle's strong legacy in helping organizations worldwide tackle their most complex challenges and its reputation for performance, reliability, and security.

Join an outstanding team of researchers to advance the state-of-the-art in areas such as :

Generative AI Applications

Agentic Platforms

Reasoning and Planning

Retrieval Augmented Generation

Generative AI Evaluation

Responsible AI

Models' Verticalization

NL2Code, NL2SQL

Multimodal GenAI

Speech

The Company :

Oracle is the world's leading provider of business software. With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only transforming the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE : ORCL), visit us at oracle.com (https : / / www.oracle.com / index.html) .

Responsibilities

What You'll Do :

As an Applied Scientist in the Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge technologies in this fast evolving area. 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 services for large scale enterprise 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 global teams to drive projects from in-depth research to producing production-ready code

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

Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices.

Lead and mentor both junior and senior machine learning engineers.

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.

Work closely with cross-functional teams to integrate evaluation capabilities, identify new opportunities for evaluation, and explore emerging technologies.

What You'll Bring : (Objective Minimum Qualifications)

Have a PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) by December 2025.

Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.

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.

A background in Natural Language Processing and / or Computer Vision, Machine Learning, and Software Development, as well as experience in research and development, collaboration, and innovation.

Hands-on experience in one or more areas : ASR, TTS, S2S translation, conversational AI, or related NLP topics.

Proven analytical and problem-solving abilities in AI / ML or speech / language processing domains.

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

Reside in the United States and / or attend a university in the US.

Able to obtain work authorization in the US in 2025.

Preferred Qualifications :

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

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

Strong understanding of machine learning algorithms and architectures

Open-source contributions to the AI / ML community

Minimum 3.0 GPA

Disclaimer

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US : Hiring Range in USD from : $97,500 to $199,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee / Spouse / Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off : Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave : 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC3

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people 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 emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

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.