Job Description

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.

Position Summary:

As an 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, brainstorming different ideas, research, building POCs and proposing 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.

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. 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 Responsibilities:  

• As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative Machine Learning/Deep Learning 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, 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 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

Required Skills:  

• 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

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Base Pay Range

$151,200—$207,750 USD

Additional Information

Be careful not to disclose information related to the trade secrets of your previous or current employer(s)

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email [email protected].

Affirmative Action / Equal Opportunity

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.

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