Senior Staff / Principal - NLP lead Engineer

Mountain View, CA

Applications have closed

Samsung Research America

For more than 70 years, Samsung has been at the forefront of innovation. Our discoveries, inventions and breakthrough products have helped shape the history of the digital revolution. We continue to expand our global reach and open new...

View company page

Title:  Senior Staff / Principal - NLP lead Engineer

Company: Samsung Research America (SRA)

Lab: Bixby

Location: Mountain View, 

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 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, 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 ML/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 KPIs
  • Partner with data scientists to drive machine learning modeling, and experimental design such as A/B testing
  • 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 algorithms
  • Scale and improve performance of Natural Language systems in production

Required Qualifications:

  • BS/MS/PhD in NLP, ML, AI, Engineering or equivalent
  • 8 plus years of experience years relevant professional experience in Natural Language Understanding, Deep Learning, Open Domain Question Answering, Text Classification, Information Retrieval, or Knowledge Extraction 
  • 5-7 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, OpenAI GPT-2/3, other transformers
  • 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

 

Additional Information

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 SRA_HR@samsung.com.

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.

Know Your Rights  |  Pay Transparency

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing Agile BERT Classification Computer Science Data Mining Data pipelines Deep Learning Engineering ETL GPT GPT-2 GPT-3 HuggingFace Java Keras KPIs Machine Learning ML models NLP NLTK OpenAI PhD Pipelines Prototyping Python PyTorch Research spaCy Statistical modeling Statistics TensorFlow Testing Transformers

Perks/benefits: Career development Transparency

Region: North America
Country: United States
Job stats:  24  4  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.