What are the responsibilities and job description for the Senior Staff Engineer, NLP position at Samsung Electronics GmbH?
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.
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
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 :
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