Senior Data Scientist/ML Engineer

Key Skills

Aartificial intelligence, Algorithms, BERT, ChatGPT, Cloud computing, Computer Vision (CV), Data science techniques, Data structuring, Effective communication skills, Machine learning techniques, MLOps tools, Oracle, Python Programming, PyTorch, TensorFlow

Job Description

Oracle’s Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. The ML Assurance team, as part of the Software Assurance org, is an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Computer Vision, or Natural Language Processing (NLP), to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization. 

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
• 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.
• Building frameworks to audit the performance of deep learning systems and to understand how well they are aligned with their design criteria.
• Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating.

Required skills

• BS in Computer Science, Data Science, Machine Learning, or related technical fields
• At least 5 years of hands-on experience with increasing scope in developing and implementing ML solutions, including 2+ years of post graduation industry experience is Data Science or ML Engineering roles
• Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis
• Strong software development experience through hands on coding in Python
• Detailed knowledge of machine learning concepts and models
• Detailed knowledge of modern deep learning models including but not limited to FCN, CNN, RNN, Autoencoders, Transformers, and Language models like BERT, GPT, or T5
• Hands-on experience implementing models using scikit-learn, TensorFlow, or PyTorch
• Familiarity with version control practices, containers, MLOps
• Familiarity 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 Learning to Rank models
• Experience with recommender systems, especially deep learning-based recommender systems
• Experience with content moderation systems
• Experience with computer vision models
• Experience with generative AI models 
• Familiarity with serverless architecture, ML model hosting strategies, and model testing techniques
• Familiarity with model risk management techniques

Travel

• The position will require over 25% onsite work in Columbia, MD, or Denver, CO

Qualifications

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 United States only

Hiring Range: from $86,700 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.