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 productionizing AI/ML applications, Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a 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 leading innovative projects for the team, leading other experienced professionals, communication with both internal and external stakeholder leadership teams, and must demonstrate critical thinking abilities, outstanding communication skills, project management experience and the ability to lead other experienced technical professionals.
What we offer:
* Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide.
* Opportunities for career growth and technical leadership.
* Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutions.
* Evaluating and understanding large production deep learning systems composed of dozens of models.
* Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating.
Career Level - IC4
Required Skills:
* BS in Computer Science, Data Science, Machine Learning, or related technical fields.
* At least 6 years of hands-on experience with increasing scope in developing and implementing ML solutions.
* Act as a tech leader on large-scale company initiatives and be viewed by peers as a tech leader and top contributor and by line management as a key business partner.
* Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis.
* Strong software development experience through hands-on coding.
* Hands-on experience with programming languages including Python, C/C++, Go, Javascript, Typescript, among others.
* Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM).
* Familiarity with version control practices (Git), containers, MLOps.
* Experience with at least one cloud platform.
* Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem-solving.
* Good communication skills to convey sophisticated topics in straightforward terms to stakeholders (internal or external).
* A drive to solve hard problems at scale.
* Experience in technical writing, project documentation, and/or technical publications.
Preferred Skills:
* MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields.
* Familiarity with serverless architecture, ML model hosting strategies, and model testing techniques.
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