Oracle Natural Language Processing (NLP) Engineer in Longmont, Colorado
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
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**//__
Job: *Product Development
Title: Natural Language Processing (NLP) Engineer
Location: United States
Requisition ID: 200005OX
Other Locations: US-CA,California-Redwood City