Architect, Applied Scientist (Reasoning Platform, AI Lead)
- Oracle
- Springfield, Illinois
- Full Time
Architect, Applied Scientist (Reasoning Platform, AI Lead)
Company: Oracle
Location: Springfield, IL
Date Posted: 7/8/25, 4:52 AM
Job Description
Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
Responsibilities
Drives Data & AI Platform applied science execution. Leads integration, alignment, and execution of strategies and plans at the highest level. Provides scientific and technical leadership and guidance to implement research direction to production. Works on issues that impact design/selling success or address future concepts, products or technologies. Focus on review, design, technical vision, and science practices for the entire organization. Influence spans across multiple lines of businesses. Work with engineering, product management and senior management to set direction for Oracle's AI efforts. Partner with engineering and product management leaders to deliver new services and features that leverage machine learning and deep learning. Defines the bar for engineering practices and ops practices, and helps teams achieve those goals. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Identifies and mitigates risks across our full set of systems, particularly at the intersection of business and engineering. Collaborates with Oracle's technical partners on long-term strategy. Exercises wide latitude in determining objectives and approaches to critical assignments. May perform other duties as assigned.
Minimum Qualifications: PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning Techniques OR Masters or Bachelor's in one or more of these fields. Minimum 8 years work experience in the areas of machine learning, computer vision, natural language processing or data mining with a PhD OR 12+ years experience with a Master's or Bachelor's. Preferred Qualifications: Demonstrated experience in successfully designing and shipping models. Examples include using machine learning, deep learning, and statistical modeling across different data domains and modalities. Thought leader in next generation of modeling technology coupled with domain expertise. Experience includes successfully influencing strategy and product roadmaps to an executive-level decision maker. Significant experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully. Acknowledged expert in the field, uses professional concepts in developing resolution to critical issues and broad design matters. Demonstrated ability to map academic solutions to identify, prioritize and solve complex, difficult customer and business problems and bring them to production. Experience with leadership of experienced scientists, as well as developing early in career scientists from academia/industry to a career track in a business environment. Training machine learning models with large scale data using techniques such as data and model parallels. Strong presence and active contributor to industry and/or academia, which may include publishing in top-tier journals and/or conferences. Strong publication record, including lead author or reviewer, in top-tier journals and/or conferences. Experience running a lab and/or research groups. Depending on the job there may be additional minimum requirements and/or preferred qualifications.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mboracle or by calling +... in the United States.
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.
Company: Oracle
Location: Springfield, IL
Date Posted: 7/8/25, 4:52 AM
Job Description
Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
Responsibilities
Drives Data & AI Platform applied science execution. Leads integration, alignment, and execution of strategies and plans at the highest level. Provides scientific and technical leadership and guidance to implement research direction to production. Works on issues that impact design/selling success or address future concepts, products or technologies. Focus on review, design, technical vision, and science practices for the entire organization. Influence spans across multiple lines of businesses. Work with engineering, product management and senior management to set direction for Oracle's AI efforts. Partner with engineering and product management leaders to deliver new services and features that leverage machine learning and deep learning. Defines the bar for engineering practices and ops practices, and helps teams achieve those goals. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Identifies and mitigates risks across our full set of systems, particularly at the intersection of business and engineering. Collaborates with Oracle's technical partners on long-term strategy. Exercises wide latitude in determining objectives and approaches to critical assignments. May perform other duties as assigned.
Minimum Qualifications: PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning Techniques OR Masters or Bachelor's in one or more of these fields. Minimum 8 years work experience in the areas of machine learning, computer vision, natural language processing or data mining with a PhD OR 12+ years experience with a Master's or Bachelor's. Preferred Qualifications: Demonstrated experience in successfully designing and shipping models. Examples include using machine learning, deep learning, and statistical modeling across different data domains and modalities. Thought leader in next generation of modeling technology coupled with domain expertise. Experience includes successfully influencing strategy and product roadmaps to an executive-level decision maker. Significant experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully. Acknowledged expert in the field, uses professional concepts in developing resolution to critical issues and broad design matters. Demonstrated ability to map academic solutions to identify, prioritize and solve complex, difficult customer and business problems and bring them to production. Experience with leadership of experienced scientists, as well as developing early in career scientists from academia/industry to a career track in a business environment. Training machine learning models with large scale data using techniques such as data and model parallels. Strong presence and active contributor to industry and/or academia, which may include publishing in top-tier journals and/or conferences. Strong publication record, including lead author or reviewer, in top-tier journals and/or conferences. Experience running a lab and/or research groups. Depending on the job there may be additional minimum requirements and/or preferred qualifications.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mboracle or by calling +... in the United States.
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.
Job ID: 484704026
Originally Posted on: 7/10/2025
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