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Senior Staff AI Research Engineer – On-Device Personal Intelligence
| Company | Samsung Research America |
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| Location | Mountain View, CA, USA |
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| Salary | $188400 – $282450 |
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| Type | Full-Time |
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| Degrees | PhD |
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| Experience Level | Expert or higher |
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Requirements
- PhD in C.S., EE or related fields or equivalent combination of education, training, and experience
- 10+ years of research experience in the fields of AI/NLP/ML
- Experience conducting research and shipping user facing products
- Strong background in NLP, LLMs, and deep learning techniques
- Hands-on experience with LLMs such as GPT, BERT, T5, or similar, and knowledge of their application in real-world environments
- Experience in knowledge graph construction, indexing (e.g., vector DB) and Retrieval Sugmented Generation (RAG) models
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other ML frameworks
- Experience designing and deploying AI models on mobile, embedded, or resource-constrained devices
- Strong understanding of AI model optimization techniques, including model compression, quantization, and efficient computation for on-device use
- Experience in user-centric research and product design, with a focus on improving personalization and user experience
- Strong communication and collaboration skills, with the ability to present complex technical concepts to a broad audience
Responsibilities
- Conduct groundbreaking research in personalization and on-device AI solutions using LLMs, specifically for mobile and embedded devices
- Develop new approaches for incorporating LLMs into personalized recommendations, Q&A, context-aware features, and proactive assistance, ensuring they respond contextually to users’ behaviors, preferences, and habits
- Design, prototype, and implement LLM-based models to deliver a personalized, adaptive experience across a variety of user interactions
- Collaborate with cross-functional teams to integrate AI models into end-user applications and optimize performance for real-time, on-device use cases
- Focus on improving device efficiency, privacy, and security while utilizing state-of-the-art AI techniques, ensuring a seamless user experience
- Stay up-to-date with the latest AI and LLM research trends, leveraging these insights to continuously improve and innovate the product experience
- Contribute to the publication of research findings in top conferences and journals, as well as present insights to internal teams and stakeholders
Preferred Qualifications
No preferred qualifications provided.
