Principal Applied Scientist (JoinOCI)

Key Skills

Aartificial intelligence, Analytical and Problem solving, API, Deep Learning, Large Language Models - LLMs, Leadership, Reinforcement Learning, Software Development

Job Description

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

• Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide.
• High visibility 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 of alignment with stakeholders' growing expectations.

What You’ll Do

• 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 together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners.
• Design and build solutions and help customers reach successful pilots, PoCs and production deployments with our AI and DS technologies.
• Bring back learnings form these strategic engagements and help the product AI and DS teams improve these products and platforms.
• Building re-usable solution patterns and reference solutions / showcases that can apply across multiple customers
• Being enthusiastic, self-motivated, and a great collaborator
• Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.

Qualifications:

• PhD in computer science, engineering, or a field related to deep learning.
• 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.
• 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).
• 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 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
• Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus.

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.

Range and benefit information provided in this posting are specific to the United States only

Hiring Range: from $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.