Samsung Research America
Principal, Engineer - Generative AI Solution Architect
Samsung Research America, Mountain View, California, us, 94039
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 ofGen AIsystems 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
#J-18808-Ljbffr
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 ofGen AIsystems 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
#J-18808-Ljbffr