Principal Engineer – Generative AI Solution Architect
Job location
Mountain View, CA, US
Type
Full Time
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 of Gen AI products, applications, and systems
Analyze and evaluate the performance of Gen AI systems and provide design recommendations
Analyze and make the 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
Requirements & 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 experience in designing end-to-end AI multiple solutions on device or cloud with productization in the market
Strong experience in on-device AI implementation
Strong analytical and problem-solving skills
Strong knowledge of the TensorFlow 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 communication skills, 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 organizations to build solutions for Samsung products
