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Oracle Natural Language Processing (NLP) Engineer in Cambridge, Massachusetts

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.

As a member of the software engineering division, you will specify, design and implement major changes to existing software architecture. Create new architecture for a moderate size product or a portion of a major product. Build and execute unit tests and unit test plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering to ensure consistency, testability and portability across products in general.

Provide leadership and expertise in the development of new products/services/processes, frequently operating at the leading edge of technology. Recommends and justifies major changes to existing products/services/processes. BS or MS degree or equivalent experience relevant to functional area. 8 or more years of software engineering or related experience.

Oracle is an Affirmative Action-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, protected veterans status, age, or any other characteristic protected by law.

Natural Language Processing (NLP) Engineer

This role will help team build the next level of experience to Oracle s users by helping us build features that are essential to the automation platform. Some of the tasks that you will be responsible for are:

Building end-to-end NLP models including:

Curating and cleansing training data

Continuously training the NLP models to expand understanding

Monitor production performance and optimize as required

Manage and update intents and entities

Identify and retrain for missed utterances

Establishing a data pipeline for one-time and reinforcement learning

Data driven experimentation to conduct hypothesis testing for NLP features

Define the right metrics for chatbots


Masters or PhD degree in computer science, statistics, mathematics, or a related field

Minimum of 5 years of professional experience

At least 1 year of NLP / Deep Learning experience; Kaggle portfolio is a plus

Deep understanding of machine learning principles

Knowledge of chatbot ecosystem, trends, and best practices

Deep expertise in Deep learning based Natural Language Processing

Experience taking research hypotheses to production

Familiarity with NLP libraries like Rasa, SpaCy, FastText, etc.

Hands-on experience with bot frameworks like LUIS, DialogFlow, etc.

Hands-on experience in hypothesis testing and rapid prototyping methodologies

/At Oracle, we don t just value differenceswe celebrate them. We re committed to creating a workplace where all kinds of people work together. We believe innovation starts with diversity and inclusion./


Job: *Product Development

Organization: *Oracle

Title: Natural Language Processing (NLP) Engineer

Location: United States

Requisition ID: 200005OX

Other Locations: US-CA,California-Redwood City