Job Description

Lab Summary:

Bixby is an intelligent personal assistant available as a built-in application on Samsung flagship devices and wearables. It uses Natural Language Understanding to perform tasks via voice or text, such as making calls, sending messages, setting meetings, opening apps, setting alarms, getting directions, and providing information about businesses.

Position Summary:

As an NLP Engineer, you will focus on building the NLU platform for Bixby by collaborating with Product Managers, Subject Matter Experts, Lab Leaders, and Linguistic Experts. Your responsibilities include brainstorming ideas, conducting research, building POCs, and proposing solutions aligned with business needs. You will work with a small team to design machine learning models, develop data pipelines, integrate and maintain production systems, and analyze key metrics to provide insights for Bixby users.

The NLP team aims to enhance Bixby's understanding of spoken requests quickly and accurately. You will collaborate with experts in Machine Learning and NLP to advance human language understanding systems.

Position Responsibilities:

• Research, prototype, develop, deploy, and scale innovative Machine Learning/Deep Learning solutions in collaboration with Linguistic Experts and Product Teams.
• Develop predictive models on large datasets to solve business problems using statistical modeling, machine learning, deep learning, or data mining techniques.
• Design and implement infrastructure for managing end-to-end machine learning workflows.
• Establish processes to monitor and improve KPIs continuously.
• Develop software, including algorithm implementation, optimization, testing, and documentation.
• Write high-quality production code to build and maintain scalable machine learning systems.
• Program primarily in Python and/or Java, following efficient software design principles.
• Scale and enhance the performance of NLP systems in production.

Required Skills:

• BS/MS/PhD in NLP, ML, AI, Engineering, or equivalent, with relevant experience.
• 12+ years of professional experience in Deep Learning, NLP, NLG, Question Answering, Text Classification, Information Retrieval, Knowledge Extraction, AI Planning, and Commonsense Reasoning.
• 5+ years of experience building end-to-end ML or deep learning systems (ETL, modeling, deployment).
• Strong understanding of algorithms, data structures, and run-time analysis.
• Proficiency in Java and Python.
• Experience with deep learning NLP models such as BERT, GPT, transformers.
• Experience with coding models and Retrieval Augmented Generation.
• Familiarity with NLP tools like spacy, NLTK, Hugging Face, and traditional models like BoW and word embeddings.
• Experience with frameworks like Keras, TensorFlow, PyTorch.
• Able to apply cutting-edge ideas and conduct independent research to solve real-world problems.
• Willingness to learn and adapt in a dynamic environment.
• Strong analytical and problem-solving skills for software design and testing.
• Experience in prototyping and designing experimental software.
• Adept at translating academic ideas into production systems.

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