Applied Scientist 4 Jobs

The Oracle Cloud Infrastructure (OCI) team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI AI Services organization has the mission to harness the power of AI and data to empower businesses and transform industries with cutting-edge technologies.
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 the pioneering AI era inspired by ChatGPT. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP), to join this team.
In this role you would closely with our strategic customers (internal and external), helping them develop end-to-end solutions and apply generative AI, as well as other ML, to their business scenarios. You will partner closely with our product, engineering, data science, research and field teams to help customers be successful using our products and influence our roadmap.
A successful candidate 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

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

What You’ll Do

• 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.
• Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations.
• Building re-usable solution patterns and reference solutions / showcases that can apply across multiple customers
• Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.
• Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company.
• Bring back learnings form these strategic engagements and help the product AI and DS teams improve these products and platforms.
• Design and build solutions and help customers reach successful pilots, PoCs and production deployments with our AI and DS technologies.
• 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 together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners.
• Being enthusiastic, self-motivated, and a great collaborator

Qualifications:

• Hands-on experience with distributed training of large language models.
• Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders.
• PhD in computer science, engineering, or a field related to deep learning.
• 5+ (for Senior), 7+ (for Principal), 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.
• Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers).
• Passionate about being a builder and working with talented peers to solve hard problems at scale.
• Strong development experience of deep learning modeling in Python.
• Familiarity with engineering best practices, including shared codebase, version control, containerization, etc.
• Familiarity with the latest advancements in LLM and generative AI technologies.
• 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.

Preferred Skills

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

Responsibilities
Drives and plans implementation of company policy for achieving business goals. 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. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.
About Us
An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.
In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.
Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.
At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.
That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.
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