Senior Applied Scientist — ML Research & Production

Oracle; Seattle (WA); On-site; USD 126,000 - 264,000; Full time

Job summary

Oracle is seeking an experienced research leader to drive end-to-end applied ML/AI initiatives in the Seattle area. The role partners with science, engineering, and product teams to translate business needs into research plans, build and deploy models, and communicate findings to diverse audiences.

You will contribute to patents, technical documents, and production-ready solutions. The candidate will design experiments, prepare datasets, optimize models, and collaborate across teams to deliver

Responsibilities

• Independently collaborates with science, engineering, and product teams to identify business and product needs to create and implement solutions, promote innovation, and drive model implementations.
• Independently performs literature reviews and state-of-the-art analyses to understand the problem that needs to be solved.
• Creates a science plan to address product and/or business problems.
• Serves as a leading contributor on the identification of solutions based on the scientific process (e.g., including modeling approaches, evaluation techniques, data collections).
• Develops and pilots research proofs-of-concept (POCs) or research experiments to demonstrate the feasibility of proposed solutions, gather supporting evidence, and secure resources for applied research.
• Independently identifies and prepares datasets for use in applied research. Ensures datasets meet quality standards, and identifies gaps in the data.
• Contributes to the design of and conducts research on new theories, tools, and methodologies to transfer and apply state-of-the-art technologies into products and services or make advancements in the field.
• Designs, develops, and optimizes ML and AI technologies, such as model training/fine-tuning and computation optimizations.
• Designs and reviews the architecture of ML and AI solutions, such as data, model, training, and evaluation, employing best practices.
• Independently identifies meaningful insights from data and metadata sources from analysis and experiments.
• Interprets and communicates insights and findings to cross-level and cross-functional audience.
• Creates patents, white papers or other technical documentation related to applied research outcomes.
• Develops efficient, bug‑free, medium‑complexity code from scratch, and properly maintains and organizes existing codebase.
• Implements best practices for version control, code review, and code delivery/deployment.
• Builds and maintains professional documentation for technical processes (experimentation, data collection and analyses, model building).
• Tests and reviews code for bugs.
• Collaborates with fellow technical teams to ensure the successful and timely delivery of solutions and integration of services.
• Collaborates with software engineers and/or machine learning engineers to deploy solutions into production environments.
• Participates in the peer review of solutions prior to delivery.
• Coordinates with team members for the delivery of solutions.
• Ensures delivered solutions successfully solve product and/or business problems.
• Independently collaborates with operational teams to evaluate and monitor solutions in production.
• Demonstrates advanced knowledge in at least one business‑critical applied research technology area.
• Applies advanced domain knowledge and industry best practices to applied research.
• Leads the publication and presentation of research findings and papers in conferences, research and industry outlets, etc.
• Participates in the scientific community by providing peer review and feedback.
• Establishes collaboration with internal research labs.
• Planning & Execution: Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative.
• Collaboration & Partnership: Collaborates across the organization to align on expectations and achieve shared objectives.
• Problem Solving: Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices.
• Continuous Learning: Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices.
• Continuous Improvement: Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders.
• Performance and Development: Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.

Job description

Oracle is seeking an experienced research leader to drive end-to-end applied ML/AI initiatives in the Seattle area. The role partners with science, engineering, and product teams to translate business needs into research plans, build and deploy models, and communicate findings to diverse audiences.

You will contribute to patents, technical documents, and production-ready solutions. The candidate will design experiments, prepare datasets, optimize models, and collaborate across teams to deliver