Director, Generative Artificial Intelligence (GenAI)

As the Director of Generative Artificial Intelligence at Samsung Research America, you'll lead pioneering projects that blend Cognitive Modeling, Machine Learning, and Knowledge Representation. Your role involves coordinating various research studies, driving innovative ideas, and collaborating with internal R&D labs, universities, and startups. Additionally, you will oversee the development of generative AI algorithms and engage in knowledge sharing through scientific papers and patents, significantly impacting future product developments.

To qualify for the Director, Generative Artificial Intelligence role at Samsung Research America, candidates must possess a PhD in a related field and at least seven years of experience in artificial intelligence. You should have experience with various ML techniques, a strong grasp of NLP, and familiarity with model development and experimentation. Your qualifications should also showcase your ability to lead teams, mentor colleagues, and effectively communicate complex concepts.

Successful candidates for the Director, Generative Artificial Intelligence position at Samsung Research America should have advanced knowledge in ML and GenAI techniques, encompassing neural networks, decision trees, and deep learning. Familiarity with data representation methods, NLP fundamentals, and data processing techniques is crucial. Additionally, expertise in relational and non-relational databases will be key in optimizing AI technology stacks for impactful innovation.

The Director of Generative Artificial Intelligence at Samsung Research America plays a vital role in the company's innovation strategy by developing advanced generative AI algorithms and leveraging emerging technologies. By leading interdisciplinary projects and collaborating with external partners, you will spearhead initiatives that push the boundaries of consumer electronics and enhance on-device experiences, positioning Samsung as a leader in AI advancements.

At Samsung Research America, the Director, Generative Artificial Intelligence will find themselves in a dynamic, fast-paced team environment. The culture promotes collaboration and creativity, encouraging team members to contribute their perspectives. You can expect to lead diverse teams while also mentoring colleagues, ensuring that innovative solutions can flourish in a supportive and engaging atmosphere.

When answering this question, highlight specific algorithms you've developed or worked with and explain the context—what challenges were faced, what techniques were employed, and what results were achieved. Discuss your approach to data collection and analysis, emphasizing any innovative solutions you implemented.

Share your strategy for building productive relationships with external partners. Discuss how you identify key collaborators, the importance of mutual goals, and any successful partnership experiences you can draw from. Highlight your communication skills and the ability to align various stakeholders towards common objectives.

Be prepared to discuss real challenges you've faced in past AI projects. Focus on specific instances where you encountered obstacles such as data limitations or technical difficulties. Explain your problem-solving approach and how you persevered to achieve project objectives, showcasing your resilience and adaptability.

Talk about your commitment to continuous learning in the AI field. Mention sources you follow, such as academic journals, industry blogs, or conferences. Additionally, explain how you translate this knowledge into actionable insights within your projects and teams, reinforcing your thought leadership in the AI space.

Choose a project that highlights your leadership and technical acumen. Discuss the project's goals, your role in coordinating the team, and the impact of the results. Be specific about how you utilized different AI techniques and engaged your team to overcome challenges along the way.

Share your preferred tools, such as TensorFlow, PyTorch, or specific databases, and explain why you choose these over others. Provide examples of projects where you successfully used these tools to improve model performance or data analysis, demonstrating your technical expertise.

Discuss your philosophy on mentorship and how you actively engage with team members to foster their growth. Provide examples of specific skills you focus on, such as model tuning or data processing techniques, and describe activities you might encourage, like workshops or hands-on projects.

Describe your prioritization strategies, and how you establish clear objectives for each project. Share tools you use to track progress and stay organized, highlighting your communication skills in keeping all stakeholders informed and aligned throughout the project lifecycle.

Emphasize the crucial role of data quality in building effective generative AI algorithms. Discuss your methods for monitoring and improving data quality, including any specific techniques or tools that you implement, and how you ensure that your models are robust and reliable.

Reflect on your passion for innovation in AI and its potential impact on everyday life. Share specific interests within the field—like user experience, technological advancements, or creative problem-solving—that drive you to contribute your expertise and lead developments at Samsung Research America.