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Senior Staff Engineer, NLP Specialist
2 months ago
Bixby is an intelligent personal assistant developed by Samsung Research America, exclusively available on Samsung flagship devices and wearables. As a Senior Staff Engineer, NLP, you will play a crucial role in building the Natural Language Understanding (NLU) platform for Bixby.
Key Responsibilities- Design and develop innovative Machine Learning/Deep Learning solutions in collaboration with Linguistic Experts and Product Management teams.
- Develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, deep 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 Key Performance Indicators (KPIs).
- 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 software design principles.
- Scale and improve performance of Natural Language systems in production.
- BS/MS/PhD in NLP, ML, AI, Engineering, or equivalent, or equivalent combination of education, training, and experience.
- 12+ years of 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.
