Sr NLP Engineer

Lab Summary
Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text including but not limited to making phone calls sending text messages setting up meetings opening apps setting alarms and timers getting directions answering general questions providing information about restaurants and other businesses etc.
The Natural Language understanding team aims to create a delightful experience for Bixby customers by making Bixby understand the intent behind any spoken request quickly and accurately. You will collaborate closely with experts in Machine Learning and Natural Language Processing and contribute to advancing the state of the art in human language understanding systems.

Position Summary:
As a Senior NLP Engineer you will primarily focus on building the NLU platform for Bixby by working with Product Managers / Subject Matter Experts Lab Leaders Linguistic Experts brainstorm different ideas research build POCs and propose solutions that cater to the broader business needs. You will work with a small and nimble team to help design machine learning models data pipelines integrate into and maintain production systems and analyze key metrics for decision makers to provide insights that will be beneficial to Bixby consumers.

Responsibilities:
As a core member of the NLP team you will research prototype develop deploy and scale innovative Client/DL solutions in collaboration with Linguistic Experts and Product Management teams.
You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling machine learning or data mining techniques.
Design and implement infrastructure for orchestrating end to end machine learning lifecycles
Set up processes to monitor and continually improve efficiency and performance of models
Software development including algorithm implementation optimization performance profiling integration to production systems testing and documentation.
Write high-quality production code as you build and maintain robust scalable machine learning systems.
Program primarily in Python and / or Java using efficient algorithms and software design patterns
Scale and improve performance of Natural Language systems in production

Required Qualifications:
MS/PhD in NLP Client AI Engineering or equivalent
3 years of relevant experience in Natural Language Understanding Intent Classification and Slot Filling Dialogue Management Question Answering Text Classification Information Retrieval or Knowledge Extraction
5 years of experience with building end-to-end systems based on machine learning or deep learning methods (ETL modeling and deployment)
Strong understanding of computer science fundamentals such as algorithms data structures and run-time analysis
Proficiency in Java and Python
Experience with deep learning architectures such as LSTMs Transformers Tree-LSTMs Graph Neural Networks etc.
Experience with cutting-edge deep learningbased NLP models such as ELMo BERT OpenAI GPT-2/3 BART BigBird ERNIE etc.
Experience with deep learning NLP toolkits such as huggingface spacy etc.
Experience with deep learning frameworks like TensorFlow PyTorch JAX and libraries like Hugging Face transformers Deep Graph Library DGL-KE etc.
Able to solve realworld problems using cuttingedge ideas and independent research
A willingness to learn and remain agile in a dynamic environment
Analytical and problem-solving skills for design creation and testing of custom software
Extensive experience with software prototyping or designing experimental software
Adept at adapting academic ideas and theoretical algorithms into a production system
Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees we do not discriminate (including in our hiring and promotion practices) based on race religion color national origin gender gender expression sexual orientation age marital status veteran status disability status or any other characteristic protected by law.