Senior Staff Engineer, NLP

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Mountain View, CA, USA
In-Office
151K-208K Annually
Software
The Role

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

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

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].

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

Samsung Research America Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Samsung Research America and has not been reviewed or approved by Samsung Research America.

  • Healthcare Strength Medical, dental, and vision start on the date of hire with multiple plan options, alongside mental-health support through Lyra and noted infertility coverage. Wellness programs plus on-site or reimbursed fitness resources further reinforce comprehensive health support.
  • Leave & Time Off Breadth PTO scales from 20 to 30 days with tenure and includes 12 paid holidays and two early‑release days annually. A quarterly development day adds additional paid time focused on growth.
  • Parental & Family Support Six weeks fully paid parental leave and six weeks paid family medical care leave are provided, with backup care via Bright Horizons and adoption/fertility supports available. Short‑term disability pays up to 26 weeks at 100% salary, enhancing income protection during family or health events.

Samsung Research America Insights

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The Company
HQ: Mountain View, CA
455 Employees
Year Founded: 1988

What We Do

Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area. Headquartered in Silicon Valley, with offices across the United States and Canada, SRA is engaged in researching emerging technology to create new businesses and developing core technology to enhance the competitiveness of Samsung products. We also play a key role in providing the infrastructure to support Samsung’s open innovation and university collaboration activities.

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