Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. Within the larger Oracle Health & AI organization, the Clinical Summaries team leverages Generative AI capabilities in a low-code environment to deliver contextualized information to healthcare providers at the point of care. The team has been delivering clinical insights into Oracle Health products for 4 years and is evolving rapidly to provide Generative AI solutions for the healthcare domain. As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. <h3>Responsibilities </h3><ol><li>Collaborate with product managers to translate business and product requirements into AI projects. </li><li>Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. </li><li>Coordinate with multinational teams to drive projects from research POC to production. </li><li>Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. </li><li>Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. </li><li>Lead and mentor both junior and senior applied scientists. </li><li>Develop production code and advocate for the best coding and engineering practices. </li><li>Participate in project planning, review, and retrospective sessions. </li><li>Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. </li> </ol><h3>Qualifications and Experience </h3><ol><li>Demonstrated experience in designing and implementing scalable AI models for production. </li><li>Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. </li><li>Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques. </li><li>Hands-on experience with emerging LLM frameworks and plugins. </li><li>Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. </li><li>Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems. </li><li>Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. </li><li>Experienced leading senior scientists and early-career scientists. </li> </ol><h3>Preferred Qualifications </h3><ol><li>Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. </li><li>Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. </li><li>Ability to thrive in a fast-paced work environment and adapt quickly to changing priorities and requirements. </li> </ol><h3>Education </h3><ol><li>PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation centered in Machine Learning and Deep Learning with 4+ years relevant experience is preferred but not a must; OR </li><li>Masters or Bachelor’s in related field with 6+ years relevant experience. </li> </ol><h3>Disclaimer </h3>Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations. <h3>About Us </h3>As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. 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. #J-18808-Ljbffr

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence.
As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.
Responsibilities
Responsibilities
Collaborate with product managers to translate business and product requirements into AI projects.
Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
Coordinate with multinational teams to drive projects from research POC to production.
Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
Lead and mentor both junior and senior applied scientists.
Develop production code and advocate for the best coding and engineering practices.
Participate in project planning, review, and retrospective sessions.
Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.
Qualifications and Experience
Demonstrated experience in designing and implementing scalable AI models for production.
Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
Experienced leading senior scientists and early-career scientists.
Preferred Qualifications
Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.
Education
PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR
Masters or Bachelor’s in related field with 3+ years relevant experience
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range: from $97,400 to $199,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one.
Disclaimer:
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

#J-18808-Ljbffr

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data Intelligence. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world-class engineering center with a focus on excellence.
As our Senior Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.
Responsibilities   Collaborate with product managers to translate business and product requirements into AI projects.
Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
Coordinate with multinational teams to drive projects from research POC to production.
Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
Lead and mentor both junior and senior applied scientists.
Develop production code and advocate for the best coding and engineering practices.
Participate in project planning, review, and retrospective sessions.
Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.
Qualifications and Experience   Demonstrated experience in designing and implementing scalable AI models for production.
Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
Experienced leading senior scientists and early-career scientists.
Preferred Qualifications   Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.
Education  PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 5+ years relevant experience.
Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!
Compensation and Benefits  US: Hiring Range in USD from: $148,100 to $248,000 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Oracle US offers a comprehensive benefits package which includes:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
About Us  As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
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 calling +1 888 404 2494, option one.
Disclaimer:  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.

#J-18808-Ljbffr

Oracle Corporation's 'SaaS Engineering' team is setting up an exciting new team to work on advances in service reliability with teams of autonomous AI agents. This initiative aims to develop a robust system using advanced ML/AI tools to analyze system logs, predict failures, and autonomously resolve issues before they impact cloud services. The project combines the cutting-edge domains of anomaly detection and autonomous AI agents to enhance service resiliency. This newly formed team will be crucial in driving innovation and ensuring the reliability of Oracle's cloud services, making significant contributions to service uptime and customer satisfaction. Requirements: <ol><li>Extensive Experience: 7-10 years of experience in machine learning engineering, with a strong focus on developing and deploying machine learning models in production environments. </li><li>Technical Expertise: Strong expertise in Python and deep learning frameworks such as PyTorch and TensorFlow. Extensive experience with time-series data analysis, feature engineering, and model optimization techniques. </li><li>Cloud & Containerization: Knowledge of cloud services (AWS, Azure, Oracle Cloud), containerization (Docker, Kubernetes), and microservices architecture. Proven track record of deploying machine learning models in a cloud environment. </li><li>AI Agent Frameworks: Knowledge and hands-on experience with AI agent frameworks and libraries is a plus. Proven ability to develop and deploy autonomous AI Agents in real-world applications. </li><li>Anomaly Detection Expertise: Experience in designing and implementing anomaly detection systems for system logs. Proficiency in using statistical methods, machine learning algorithms, and signal processing techniques to identify and diagnose anomalies in large-scale log data. </li><li>Problem-Solving Skills: Excellent problem-solving skills, with the ability to identify and address potential issues proactively. Experience in troubleshooting and optimizing machine learning models and systems. </li><li>Leadership Skills: Proven leadership abilities with a track record of mentoring and guiding junior team members. Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders. </li><li>Educational Background: Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Data Science, or a related field. Relevant certifications in machine learning or AI are a plus. </li><li>Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple tasks and projects simultaneously. Eagerness to continuously learn and adapt to new technologies and methodologies. </li> </ol>Responsibilities: <ol><li>Lead ML Model Development: Lead the design and development of advanced machine learning models for detecting anomalies in system logs. This includes selecting appropriate algorithms, designing model architecture, and ensuring robust model training and validation. </li><li>Scalable Solution Architecture: Architect and implement scalable machine learning solutions for real-time failure prediction and automated resolution. Ensure that solutions are designed for high availability, fault tolerance, and scalability in a cloud environment. </li><li>Model Optimization: Optimize and fine-tune models to enhance recall and precision, ensuring high performance and reliability. Use techniques such as hyperparameter tuning, cross-validation, and performance monitoring to achieve optimal results. </li><li>Mentorship & Collaboration: Mentor junior ML engineers, providing guidance on best practices in machine learning, model development, and software engineering. Collaborate closely with data scientists and data engineers to integrate models into production and ensure end-to-end solution effectiveness. </li><li>Continuous Learning & Innovation: Stay updated with the latest advancements in machine learning and AI. Incorporate best practices and new methodologies into the development process to maintain a cutting-edge approach. </li><li>System Integration: Work closely with DevOps and engineering teams to deploy machine learning models into production environments. Ensure seamless integration with existing systems and workflows. </li><li>Documentation & Reporting: Ensure thorough documentation of model development processes, system architectures, and project outcomes. Regularly report on project progress, challenges, and achievements to senior leadership and stakeholders. </li> </ol>Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only. US: Hiring Range: from $139,300 to $291,900 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: <ol><li>Medical, dental, and vision insurance, including expert medical opinion </li><li>Short term disability and long term disability </li><li>Life insurance and AD&D </li><li>Health care and dependent care Flexible Spending Accounts </li><li>Pre-tax commuter and parking benefits </li><li>401(k) Savings and Investment Plan with company match </li><li>Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. </li><li>11 paid holidays </li><li>Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. </li><li>Paid parental leave </li><li>Adoption assistance </li><li>Employee Stock Purchase Plan </li><li>Financial planning and group legal </li><li>Voluntary benefits including auto, homeowner and pet insurance </li> </ol>The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. About Us: As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one. Disclaimer: 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 #J-18808-Ljbffr

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Responsibilities Responsibilities Collaborate with product managers to translate business and product requirements into AI projects. Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. Coordinate with multinational teams to drive projects from research POC to production. Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. Lead and mentor both junior and senior applied scientists. Develop production code and advocate for the best coding and engineering practices. Participate in project planning, review, and retrospective sessions. Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Qualifications and Experience Demonstrated experience in designing and implementing scalable AI models for production. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Experienced leading senior scientists and early-career scientists. Preferred Qualifications Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Education PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 3+ years relevant experience Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference! Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range: from $97,400 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one. Disclaimer: 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 #J-18808-Ljbffr

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data Intelligence. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world-class engineering center with a focus on excellence. As our Senior Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. <h3>Responsibilities </h3><ol><li>Collaborate with product managers to translate business and product requirements into AI projects. </li><li>Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. </li><li>Coordinate with multinational teams to drive projects from research POC to production. </li><li>Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. </li><li>Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. </li><li>Lead and mentor both junior and senior applied scientists. </li><li>Develop production code and advocate for the best coding and engineering practices. </li><li>Participate in project planning, review, and retrospective sessions. </li><li>Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. </li> </ol><h3>Qualifications and Experience </h3><ol><li>Demonstrated experience in designing and implementing scalable AI models for production. </li><li>Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. </li><li>Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. </li><li>Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. </li><li>Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. </li><li>Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. </li><li>Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. </li><li>Experienced leading senior scientists and early-career scientists. </li> </ol><h3>Preferred Qualifications </h3><ol><li>Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. </li><li>Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. </li> </ol><h3>Education </h3>PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor’s in related field with 5+ years relevant experience. Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference! <h3>Compensation and Benefits </h3>US: Hiring Range in USD from: $148,100 to $248,000 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Oracle US offers a comprehensive benefits package which includes: <ul><li>Medical, dental, and vision insurance, including expert medical opinion </li><li>Short term disability and long term disability </li><li>Life insurance and AD&D </li><li>Health care and dependent care Flexible Spending Accounts </li><li>Pre-tax commuter and parking benefits </li><li>401(k) Savings and Investment Plan with company match </li><li>Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. </li><li>11 paid holidays </li><li>Paid sick leave: 72 hours of paid sick leave upon date of hire. </li><li>Paid parental leave </li><li>Adoption assistance </li><li>Employee Stock Purchase Plan </li><li>Financial planning and group legal </li><li>Voluntary benefits including auto, homeowner and pet insurance </li> </ul>The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. <h3>About Us </h3>As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives. 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 calling +1 888 404 2494, option one. Disclaimer: 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. #J-18808-Ljbffr

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. The Oracle Cloud Infrastructure (OCI) Generative AI team is responsible for growing OCI’s Generative AI and Agent services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle’s assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, solutions and services that delight our customers with the confidence that their data is safe and protected. We are seeking a visionary leader to spearhead Generative AI & Agent modeling research and development efforts. As a Senior Principal Applied Scientist in Generative AI and Agent Service team, you will be leading efforts to architect, build and deploy cutting-edge, high-quality AI models and solutions at scale. You will lead a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of Generative AI & Agents at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers. <h3>Responsibilities </h3><ol><li>Research and Development: Conduct in-depth research on Generative AI, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches. </li><li>Model Development: Design, develop, and train state-of-the-art generative models that meet the highest quality standards. </li><li>Team Leadership: Lead and mentor a high-performing team of scientists and engineers. </li><li>Collaboration: Work closely with cross-functional teams to integrate Generative AI capabilities into various applications and products. </li><li>Innovation: Identify new opportunities for Generative AI & Agent and explore emerging technologies. </li><li>Stay Updated: Maintain a deep understanding of industry trends and advancements in this space. </li> </ol><h3>Qualifications and Experience: </h3><ol><li>PhD, or Master's degree and 10+ years relevant experience in Computer Science (focused on Machine Learning, Deep Learning) or related fields; </li><li>Strong publication record, including as a lead author, in top-tier journals or ML/NLP conferences. </li><li>Extensive experience in natural language processing and deep learning. </li><li>Proven track record of leading research and development projects. </li><li>Strong understanding of machine learning algorithms and architectures. </li><li>Excellent problem-solving and analytical skills. </li><li>Strong leadership and communication abilities. </li> </ol>Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only. #J-18808-Ljbffr

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
The Oracle Cloud Infrastructure (OCI) Generative AI team is responsible for growing OCI’s Generative AI and Agent services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle’s assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, solutions and services that delight our customers with the confidence that their data is safe and protected.
Responsibilities  We are seeking an exceptional applied scientist to work on innovative Generative AI & Agent modeling research and development efforts. As a Principal Applied Scientist in Generative AI and Agent Service team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of Generative AI & Agents at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI-powered services for large-scale enterprise customers.
Key Responsibilities:   Research and Development: Conduct in-depth research on Generative AI, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches.
Model Development: Design, develop, and train state-of-the-art generative models that meet the highest quality standards.
Team Leadership: TL and mentor junior scientists and engineers.
Collaboration: Work closely with cross-functional teams to integrate Generative AI capabilities into various applications and products.
Innovation: Identify new opportunities for Generative AI & Agent and explore emerging technologies.
Stay Updated: Maintain a deep understanding of industry trends and advancements in this space.
Qualifications and Experience:   PhD, or Master's degree and 6+ years relevant experience in Computer Science (focused on Machine Learning, Deep Learning) or related fields;
Strong publication record, including as a lead author, in top-tier journals or ML/NLP conferences.
Extensive experience in natural language processing, and deep learning.
Proven track record of leading research and development projects.
Strong understanding of machine learning algorithms and architectures.
Excellent problem-solving and analytical skills.
Strong leadership and communication abilities.
Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Compensation and Benefits:  US: Hiring Range: from $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion.
Short term disability and long term disability.
Life insurance and AD&D.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position.
11 paid holidays.
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal.
Voluntary benefits including auto, homeowner and pet insurance.
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
About Us  As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one.
Disclaimer:  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.

#J-18808-Ljbffr

Applied Scientist Jobs in Juneau, AK

Applied Scientist 4
December 12, 2024

Senior Applied Scientist
December 10, 2024

Senior Principal Applied Scientist
December 10, 2024

Lead Applied Scientist Ai Agents
December 9, 2024

Senior Applied Scientist
December 9, 2024

Senior Principal Applied Scientist
December 9, 2024

Senior Principal Applied Scientist Ocigenai
December 9, 2024

Principal Applied Scientist Ocigen Ai
November 24, 2024

Quick filters

Top companies

Applied Scientist Jobs in Juneau, AK

Applied Scientist 4December 12, 2024

Senior Applied ScientistDecember 10, 2024

Senior Principal Applied ScientistDecember 10, 2024

Lead Applied Scientist Ai AgentsDecember 9, 2024

Senior Applied ScientistDecember 9, 2024

Senior Principal Applied ScientistDecember 9, 2024

Senior Principal Applied Scientist OcigenaiDecember 9, 2024

Principal Applied Scientist Ocigen AiNovember 24, 2024