Lab Summary:

Samsung KNOX™ (https://www.samsungknox.com/) is Samsung’s guarantee of security, and a secure device gives you the freedom to work and play how, where, and when you want. Samsung Knox consists of a highly secure platform built into Samsung devices and a set of solutions that leverage this platform. Whether you would like to keep your personal photos private, or remotely manage a batch of business smartphones, Knox has you covered.

Come join the Samsung KNOX team and help us define and develop the future core technologies for Samsung devices and services!

Position Summary:

The successful candidate will deep dive into Samsung connected-things eco system, define novel product concept and prototype, and solve the challenging problems with a combination of techniques in artificial intelligence (AI), mobile computing and security & privacy. You are expected to research on and develop algorithms and models and will work with other team members to build the next-generation commercial product and service that will greatly improve productivity, user experience and security. You will have the opportunity to explore cutting-edge technologies and build them into real-world products that serve billions of enterprise and consumer users in their daily usages.

Position Responsibilities:

• Work with product team to propose new products and services for Samsung eco-system (mobile, wearable, appliance, connected car and etc)
• Define relevant technical problems to improve existing products and services
• Develop proof-of-concept technology demonstrations and conduct experiments to evaluate the performance and robustness
• Work in team to implement and deploy the products/services
• Research new technologies that could potentially lead to research publication and/or patents

Required Skills:

• Bachelor Degree or equivalent combination of education, training and experience
• 3+ years of academic or industrial experience in NLP related domains
• Solid research background in one of more fields of machine learning and/or deep learning, Natural Language Processing, Large language model, security and privacy
• Hands-on experience in building practical application/solutions using techniques in abovementioned fields
• Highly self-motivated, can work independently and also collaboratively
• Strong passion in explore new technologies and be always ready to accept new challenges

Special Attributes:

• PhD or equivalent combination of education, training and experience in artificial intelligence, machine/deep learning, NLP preferred
• Prior research or development experience on LLM
• Expertise in building LLM-driven applications leveraging existing or creating data pipeline and/or framework
• Expertise in optimized processing of deep neural network for resource-constrained devices
• Expertise in various topics in AI, such as reinforcement learning, transfer learning, continual learning, adversarial machine learning
• Publication record in top venues in related fields

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 sratalent@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.

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