Senior Staff Engineer, NLP

September 4

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Samsung Research America (SRA)

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Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area$1. .$1

Scientific Research and Development Services • Computer Hardware • Computer Software • MPS • Think Tank Team

1001 - 5000

Description

• As an NLP Engineer, you will primarily focus on building the NLU platform for Bixby. • 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. • The Natural Language Processing team aims to create a delightful experience for Bixby customers by making Bixby understand the intent behind any spoken request quickly and accurately.

Requirements

• BS/MS/PhD in NLP, ML, AI, Engineering or equivalent, or equivalent combination of education, training, and experience. • 12+ years of experience years relevant professional experience in Deep Learning, Natural Language Understanding, Natural Language Generation, Open Domain Question Answering, Text Classification, Information Retrieval, Knowledge Extraction, Planning in AI, Commonsense Reasoning in AI. • 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-based NLP models such as BERT, GPT, other transformers. • Experience with advanced deep learning-based coding models and Retrieval Augmented Generation. • Experience with traditional NLP tools such as BoW models, word embeddings, and Python NLP toolkits such as spacy, NLTK, huggingface. • Experience with machine learning techniques, tools, and frameworks like Keras, TensorFlow, pytorch. • Able to solve real–world problems using cutting–edge 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.

Benefits

• Comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.