Oracle
Senior Principal Software Engineer
Oracle, Cheyenne, Wyoming, United States, 82007
Oracle Senior Principal Software Engineer - Cheyenne, Wyoming
Oracle’s Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber software engineers, data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Software Engineer or Machine Learning Engineer with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary software engineers and ML experts.As a Senior Principal Software Engineer, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for the technical direction of the team and for communication with both internal and external stakeholders and leadership teams, and must demonstrate critical thinking abilities, outstanding communication skills, project management experience, and the ability to lead other experienced technical professionals.ResponsibilitiesLead large-scale company initiatives and be viewed by peers as a leader and top contributor.Demonstrate a thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis.Develop and implement ML solutions with a focus on deep learning concepts.Provide analytical insights into the operation of large production deep learning systems.Communicate sophisticated topics in straightforward terms to stakeholders.Required SkillsBS in Computer Science, Data Science, Machine Learning, or related technical fields.At least 10 years of hands-on experience in developing and implementing ML solutions.4+ years in roles with technical leadership scope in Software Engineering, Data Science, or ML Engineering.Strong software development experience through hands-on coding.Detailed knowledge of modern deep learning concepts, including Generative AI models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM).Familiarity with version control practices (Git), containers, MLOps, and at least one cloud platform.Experience in formulating analytical problems into actionable research.Good communication skills to convey complex topics to stakeholders.A drive to solve hard problems at scale.Experience in technical writing and project documentation.Preferred SkillsMS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields.Familiarity with Learning to Rank models, recommender systems, and computer vision models.Familiarity with serverless architecture and ML model hosting strategies.TravelThe position will require approximately 25% travel to Columbia, MD, or Denver, CO.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 InformationUS: Hiring Range: from $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.Oracle maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions, and locations.Oracle US offers a comprehensive benefits package which includes medical, dental, and vision insurance, short-term and long-term disability, life insurance, 401(k) plan with company match, and paid time off policies.About UsAs a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. We’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.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.
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Oracle’s Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber software engineers, data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Software Engineer or Machine Learning Engineer with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary software engineers and ML experts.As a Senior Principal Software Engineer, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for the technical direction of the team and for communication with both internal and external stakeholders and leadership teams, and must demonstrate critical thinking abilities, outstanding communication skills, project management experience, and the ability to lead other experienced technical professionals.ResponsibilitiesLead large-scale company initiatives and be viewed by peers as a leader and top contributor.Demonstrate a thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis.Develop and implement ML solutions with a focus on deep learning concepts.Provide analytical insights into the operation of large production deep learning systems.Communicate sophisticated topics in straightforward terms to stakeholders.Required SkillsBS in Computer Science, Data Science, Machine Learning, or related technical fields.At least 10 years of hands-on experience in developing and implementing ML solutions.4+ years in roles with technical leadership scope in Software Engineering, Data Science, or ML Engineering.Strong software development experience through hands-on coding.Detailed knowledge of modern deep learning concepts, including Generative AI models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM).Familiarity with version control practices (Git), containers, MLOps, and at least one cloud platform.Experience in formulating analytical problems into actionable research.Good communication skills to convey complex topics to stakeholders.A drive to solve hard problems at scale.Experience in technical writing and project documentation.Preferred SkillsMS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields.Familiarity with Learning to Rank models, recommender systems, and computer vision models.Familiarity with serverless architecture and ML model hosting strategies.TravelThe position will require approximately 25% travel to Columbia, MD, or Denver, CO.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 InformationUS: Hiring Range: from $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.Oracle maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions, and locations.Oracle US offers a comprehensive benefits package which includes medical, dental, and vision insurance, short-term and long-term disability, life insurance, 401(k) plan with company match, and paid time off policies.About UsAs a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. We’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.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.
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