What are the responsibilities and job description for the Principal, Engineer, Generative AI Solution Architect position at Samsung Research America?
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
