Senior Principal Applied Scientist, Generative AI Full-time

Job Description

The Oracle Cloud Infrastructure (OCI) Generative AI Outbound Product Management team is responsible for growing OCI’s Generative AI services and platform. Our goal is to enable both our customers to apply Gen AI to solve a particular business problem with Oracle’s assistance and expertise. In this role, you will have an opportunity to work with the most thoughtful data scientists and developers from major Fortune 100 companies to deliver solutions that delight our customers with the confidence that their data are safe and protected.

We are building a core dedicated team specialized in applied deep learning in Large Language Models (LLM) and Generative AI, with high visibility to senior leadership and influence on company-wide businesses in this pioneering AI area. We are looking for candidates who are passionate about building innovative technologies to solve real-world problems and have an outstanding technical background in LLMs, or alternately in deep learning, especially natural language processing (NLP), to join our team.

You will work closely with our strategic customers, both internal and external, helping them develop end-to-end solutions and apply Generative AI, as well as other ML models to their business scenarios. You will partner with inbound product management, engineering, research, and sales teams to help customers be successful using our products and influence our roadmap.

Our future colleague will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems!

What we offer

• Being part of one of the most transformational and purposeful organizations in Oracle, collaborating with talented peers with diverse backgrounds worldwide.
• High insight to senior leadership, as well as technical leaders and partners.
• Opportunity to build state-of-the-art technologies in large language models and Generative AI at scale.
• Close partnership with product managers and software engineers to deploy solutions into production in various business-critical scenarios.
• Building performance evaluations of Generative AI systems for continuous improvement and alignment with stakeholders’ growing expectations.

Core Responsibilities

• Develop, implement, and optimize large language models and Generative AI technologies, including training/finetuning and computation optimizations.
• Collaborate with software engineers to deploy LLM and other Generative AI models into production environments.
• Stay up to date with the latest advancements in the field of Generative AI.
• Collaborate with multi-functional teams to drive the development and adoption of LLM and Generative AI solutions across various organizations in the company.
• Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work with their engineering and data science team to remove blockers and translate feedback into actionable items for individual service owners.
• Design and build solutions to help customers reach successful pilots, PoCs and production deployments with our Generative AI and Data Science technologies.
• Consolidate learnings from these strategic engagements and present to the inbound product management teams to improve their products and platforms.
• Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers
• Be an enthusiastic, self-motivated, and phenomenal collaborator with a can-do attitude
• Be a product evangelist – engage directly with customers and partners, participate and present in external events and conferences, when required

Preferred Skills

• Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories
• Industrial experience in system design, software development, and production deployment
• Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving.
• First-hand experience with deep reinforcement learning
• Experience with the latest technologies in LLM and Generative AI such as parameter-efficient finetuning and instruction finetuning
• Familiarity with the latest advancements in computer vision and multimodal modeling such as CLIP, DALL-E2, and diffusion models
• Top-tier performance in prestigious deep learning leaderboards or large model-related competitions.
• Having an impressive set of GitHub projects or contributions to open-source technologies

Career Level – IC5

Responsibilities

Additional Responsibilities

Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering! Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Invent, implement, and deploy innovative machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs to create and implement solutions, promote innovation, and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g., decision support, anomaly detection, forecasting and recommendations, natural language processing (NLP), Natural Language Understanding (NLU), Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.

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