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Senior Principal Software Engineer
4 weeks ago
Oracle Senior Principal Software Engineer - Boise, Idaho
Oracle’s Software Assurance organization is focused on making application security and software assurance a reality at scale. We are seeking an experienced Software Engineer or Machine Learning Engineer with expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision to join our diverse team of high-caliber software engineers and ML experts. As a Senior Principal Software Engineer, you will collaborate with technical and research teams on innovative projects involving advanced ML applications. This role involves providing technical direction to the team, communicating with internal and external stakeholders, demonstrating critical thinking, exceptional communication skills, project management experience, and leading other technical professionals.
What we offer:
Being part of one of Oracle's strategic departments
Collaborating with an international team of software engineers, data science, and ML experts
Career growth opportunities and technical leadership roles
Exposure to cutting-edge AI/ML applications and collaboration with research teams
Evaluating and understanding large production deep learning systems
Developing novel metrics for analytical insights
Responsibilities:
Provide technical leadership on company initiatives
Thorough understanding of CS fundamentals and strong software development experience
Detailed knowledge of modern deep learning concepts
Experience with version control, containers, MLOps, and cloud platforms
Formulate analytical problems into actionable research
Excellent communication skills and ability to solve complex problems at scale
Experience in technical writing and project documentation
Required Skills:
BS in Computer Science, Data Science, Machine Learning, or related fields
Minimum 10 years of hands-on experience in developing and implementing ML solutions
4+ years in technical leadership roles
Leadership in software engineering, data science, or ML engineering
Familiarity with Generative AI models, FCN, CNN, RNN, Autoencoders, Transformers, and LLM
Experience in version control, containers, MLOps, and at least one cloud platform
Ability to convey complex topics to stakeholders
Drive to solve challenging problems at scale
Preferred Skills:
MS/PhD in relevant fields
Familiarity with Learning to Rank models, recommender systems, computer vision models
Experience with serverless architecture, ML model hosting, and testing techniques
Travel:
Approximately 25% travel to Columbia, MD, or Denver, CO
*Disclaimer: Certain US customer or client-facing roles may have additional requirements.
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