Principal, Engineer – Generative AI Solution Architect Full-time

Lab Overview:

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:

We are seeking a highly skilled and motivated Applied ML Solution Architect with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for designing and developing innovative and practical AI applications for Samsung devices and services. Bixby Lab work on many high impact projects that serve various Samsung lines of business. We are at the forefront of using sophisticated machine learning techniques and mathematical models to tackle impactful business problems. We continuously innovate and are constantly pushing the envelope. The Applied Machine Learning Data Science team is an outstanding combination of machine learning techniques, algorithms, as well as real world business solutions that will impact billions of devices in the world. Join us and you will have the opportunity to do groundbreaking applied machine learning work that will craft the industry.

Position Responsibilities:

• Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery
• Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems
• Analyze and evaluate the performance of Gen AI systems and provide design recommendations
• Analyze and make right technological choices for generative ai solutions
• Design and prototype reusable components for LLM based solution patterns
• Architect components of an LLM solution to address Responsible AI & Security
• Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders
• Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development
• Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model’s performance and efficiency
• Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility
• Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy

Required Skills:

• BSc, Masters, or PhD in Computer Science or Engineering or equivalent combination of education, training, and experience
• 10+ years of industry experience with strong ML fundamentals
• Hands-on experience with building Deep Learning applications
• Proficiency in using ML toolkits, e.g., PyTorch, Tensor flow etc.
• Strong experiencing in designing end to end AI multiple solutions on device or cloud with productization in market
• Strong experience in on device AI implementation
• Strong analytical and problem solving skills
• Strong knowledge of Tensor flow framework and architecture
• Strong software engineering skills in Python to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
• Proven ability to train and debug deep learning systems: defining metrics and datasets, performing error analysis and training models in a modern ML framework
• Familiarity with researching current ML literature and math including optimization methods and modeling techniques
• Strong experience in the transition of a prototype into a final product
• Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
• Mentoring team research and co -work across organization for building solutions for Samsung products

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

$177,700-$266,450 USD

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.

Know Your Rights | Pay Transparency