Principal Scientist, On-Device Personalization at Samsung Research America

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

365000.0

Posted On

06 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, AI, On-Device Personalization, LLM, Ambient Intelligence, Deep Learning, Federated Learning, Computational Efficiency, Collaboration, Communication, Edge Computing, Mobile AI Frameworks, Privacy-Preserving AI, Research Leadership, Product Development

Industry

Software Development

Description

Lab Summary: Samsung’s AI Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language and Personal Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence. Position Summary: We are looking for an experienced research leader to drive product-focused research in On-Device Personalization, leveraging LLMs and machine learning to shape next-generation AI-driven user experiences. This role will focus on ambient intelligence, ensuring seamless, adaptive, and privacy-preserving personalization at the edge. You will craft the vision, lead innovation, and collaborate across research, engineering, and product teams to push the boundaries of AI-driven user interaction. Influence the future of on-device AI and personalization at scale. Work with a team of world-class researchers and engineers. Drive groundbreaking AI research into real-world impact. Competitive compensation, benefits, and growth opportunities. If you are excited about crafting the future of AI-driven, personalized experiences, apply now and be part of an innovative, forward-thinking team. Position Responsibilities: Lead and define the vision for on-device personalization and ambient intelligence, driving research that enables LLM-powered, user-centric experiences Spearhead research and development efforts in LLM-driven personalization, context-aware AI, and on-device machine learning to enhance user experiences Collaborate closely with cross-functional teams, including product managers, research scientists, and platform engineers, to align cutting-edge AI research with real-world product applications Architect and optimize on-device LLM models, ensuring efficient performance under computational constraints while maintaining personalization accuracy and privacy Translate research advancements into scalable, production-ready AI solutions, integrating seamlessly with consumer applications and devices Build and mentor a high-performing team of engineers and researchers, fostering a culture of innovation, collaboration, and technical excellence Engage with the broader research community, contribute to publications, and drive thought leadership in on-device AI, personalization, and ambient intelligence Required Skills: PhD (preferred) or Master’s degree in Machine Learning, Natural Language Processing (NLP), AI, or a related field. or equivalent combination of education, training, and experience 14+ years of technical leadership experience, driving AI/ML research into real-world product applications Proven experience in LLM-based product experiences, personalization, and on-device AI Strong understanding of on-device machine learning, federated learning, and computational efficiency optimizations Expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and NLP model architectures (Transformer-based models, Distillation, LoRA, Quantization, etc.) Exceptional collaboration and communication skills, with a track record of partnering across research and product teams A passion for ambient intelligence and the future of intuitive, AI-powered experiences Special Attributes: Experience with edge computing, mobile AI frameworks (Core ML, TensorFlow Lite, ONNX Runtime, etc.), and privacy-preserving AI Contributions to top AI/ML conferences (NeurIPS, ICML, ACL, CVPR, etc.) Track record of building and scaling AI-powered personalization solutions Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Base Pay Range $224,200—$365,000 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com. Equal Employment Opportunity At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

Responsibilities

Lead the vision for on-device personalization and ambient intelligence, driving research that enables LLM-powered, user-centric experiences. Collaborate with cross-functional teams to align cutting-edge AI research with real-world product applications.