O

Oracle

Builds databases, business apps and cloud services

Principal Applied Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Demonstrate advanced knowledge in at least one business-critical applied research technology area.
  • Apply advanced domain knowledge and industry best practices to applied research.
  • Pursue learning opportunities to expand knowledge and skills and stay abreast of industry trends and best practices.
  • Proactively seek and leverage ongoing feedback and training to improve skills.

Responsibilities

  • Independently partner with science, engineering, and product teams to translate business and product needs into research plans and production-ready solutions.
  • Perform literature reviews and state-of-the-art analyses to understand problems to be solved.
  • Create science plans addressing product or business problems.
  • Contribute as a leading expert to identifying solutions using scientific methods, including modeling approaches, evaluation techniques, and data collection.
  • Develop and pilot research proofs of concept or experiments to demonstrate feasibility, gather evidence, and secure resources for applied research.
  • Identify and prepare datasets for applied research, ensure quality standards, and identify data gaps.
  • Conduct research on theories, tools, and methodologies to transfer state-of-the-art technologies into products and services or advance the field.
  • Design, develop, and optimize machine learning and artificial intelligence technologies, including model training, fine-tuning, and computation optimization.
  • Design and review machine learning and artificial intelligence solution architectures, including data, models, training, and evaluation, using best practices.
  • Identify meaningful insights from data and metadata based on analysis and experiments.
  • Interpret and communicate insights and findings to cross-level and cross-functional audiences.
  • Create patents, white papers, and technical documentation related to applied research outcomes.
  • Develop efficient, bug-free, medium-complexity code from scratch and maintain and organize existing codebases.
  • Implement best practices for version control, code review, and code delivery and deployment.
  • Build and maintain professional documentation for technical processes, experimentation, data collection, analysis, and model building.
  • Test and review code for bugs.
  • Collaborate with technical teams to ensure timely solution delivery and service integration.
  • Collaborate with software engineers or machine learning engineers to deploy solutions into production environments.
  • Participate in peer reviews of solutions before delivery.
  • Coordinate with team members to deliver solutions and ensure they solve product or business problems.
  • Collaborate with operational teams to evaluate and monitor solutions in production.
  • Lead publication and presentation of research findings and papers at conferences and in research and industry outlets.
  • Participate in the scientific community through peer review and feedback.
  • Establish collaboration with internal research labs.
  • Manage and coordinate moderately complex tasks, monitoring timelines and deliverables for a moderately sized project or initiative.
  • Delegate, monitor, and prioritize work across multiple projects, provide technical oversight, and adjust plans for resource or timeline changes.
  • Collaborate across the organization to align expectations and achieve shared objectives.
  • Use an understanding of business leaders, stakeholders, and customers to ensure proposed solutions meet their needs.
  • Seek and listen to diverse perspectives and ensure others feel heard and respected.
  • Identify and address moderately complex issues by analyzing data and information and applying standard practices.
  • Escalate unresolved or critical issues with an assessment and potential solutions.
  • Review, contribute to, and document problem-solving strategies.
  • Coach and mentor junior team members, fostering learning and knowledge sharing across teams.
  • Develop ideas and recommend or collaborate on process improvements to increase efficiency and effectiveness, then evaluate their impact on stakeholders.
  • Solicit feedback on ideas for alternative approaches and methods for continued improvement.
  • Participate in candidate interviews, assess candidates, and provide hiring recommendations.

About the Company

Oracle

Builds databases, business apps and cloud services

Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Austin, TX
Founded
1977

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