Oracle Natural Language Processing (NLP) Engineer in Bentonville, Arkansas
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 analyze and integrate external customer specifications. Specify, design and implement modest changes to existing software architecture. Build new products and development tools. 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 discuss major changes to functionality.
Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 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
Title: Natural Language Processing (NLP) Engineer
Location: United States
Requisition ID: 200005OC
Other Locations: US-CA,California-Redwood City
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