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Senior Principal Applied Scientist, Generative Ai
3 months ago
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 smartest 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 talented 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 state-of-the-art 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.
In this role 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 visionary and mission-driven organizations in Oracle, collaborating with talented peers with diverse backgrounds worldwide.
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 cross-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, Po Cs 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 great 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 Qualifications: Advanced degree in computer science, engineering, or a field related to deep learning and/or NLP.
Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data.10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field.
Hands-on experience with distributed training of large language models.
Strong development experience of deep learning modeling in Python.
Familiarity with the latest advancements in LLM and Generative AI technologies.
Familiarity with engineering best practices, including shared codebase, version control, containerization, etc.
Passionate about being a builder and working with talented peers to solve hard problems at scale.
Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders.
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 First-hand 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.
