Samsung Research America
Staff Research Engineer, Generative AI
Samsung Research America, Mountain View, California, us, 94039
Lab Summary:
Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory submissions. Millions of Samsung users’ lives around the world have been touched by our products, including the
Samsung HeartWise
for cardiac rehabilitation and the
Samsung ECG Monitor App . Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us!
Position Summary:
Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior Research Engineer with solid ML/AI/Generative AI/Large Language Model technology background and digital health-related research project experiences in digital biomarker, physiological signal process and multi-modality mobile sensing development. You need to have a strong track-record of success in academic and/or industrial settings. You will play a key role in delivering innovation in digital health domain, create technologies and intellectual properties, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid technical skills and project experiences in areas of generative AI and Large Language Models.
You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience.
Position Responsibilities:
Prepare proof-of-concept, demo / prototypes, design and execute pilot studies using Generative AI and Large Language Models.
Work with project team and contribute to dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs.
Lead the development of innovative ideas and generative AI algorithms based on noisy signals from sensors including, but not limited to, light, audio, physiological, and inertial sensor data collected both in lab and field settings.
Generate patents and scientific research papers for top-tier publications.
Experience r
equirements:
Ph.D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areasor related field, or equivalent combination of education, training, and experience.
Demonstrable knowledge and experience in Generative AI, Large Language Models, and their applications on mobile sensor data collected in lab and in the wild.
6+years of experience in one or more of the following programming languages: Python, Java, Android, MATLAB, R.
Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams.
Publications in top-tier AI computing venues including but not limited to NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL.
Special
Attributes:
Experience in NLP and Conversational AI.
Experience in LLM validation, reliability, toxicity/harmfulness avoidance.
Experience with building knowledge graphs from unstructured texts.
Experience with vector DB.
Strong mathematics background, especially statistics.
Turn the analyzed data into actionable insight and/or understandable visualization.
On-device implementation of ML/AI algorithms in C/C++/Java.
Clinical study design, IRB development, in-lab and/or in-the-wild data collection studies.
Product development and prototyping experience in order to implement and validate solutions.
Experience in designing and conducting studies of wearable devices or clinical-trials with human subjects both in lab and field settings.
Previous experience developing algorithms in healthcare research/industry using EMR/EHR and mobile/wearable sensor data.
Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data.
Proficiency in the Android/Tizen/iOS development environment with the ability to create fully working prototypes.
Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers.
Understanding of human factors, usability and comfort with wearable sensors.
Experience operating under HIPAA is a plus.
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Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory submissions. Millions of Samsung users’ lives around the world have been touched by our products, including the
Samsung HeartWise
for cardiac rehabilitation and the
Samsung ECG Monitor App . Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us!
Position Summary:
Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior Research Engineer with solid ML/AI/Generative AI/Large Language Model technology background and digital health-related research project experiences in digital biomarker, physiological signal process and multi-modality mobile sensing development. You need to have a strong track-record of success in academic and/or industrial settings. You will play a key role in delivering innovation in digital health domain, create technologies and intellectual properties, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid technical skills and project experiences in areas of generative AI and Large Language Models.
You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience.
Position Responsibilities:
Prepare proof-of-concept, demo / prototypes, design and execute pilot studies using Generative AI and Large Language Models.
Work with project team and contribute to dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs.
Lead the development of innovative ideas and generative AI algorithms based on noisy signals from sensors including, but not limited to, light, audio, physiological, and inertial sensor data collected both in lab and field settings.
Generate patents and scientific research papers for top-tier publications.
Experience r
equirements:
Ph.D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areasor related field, or equivalent combination of education, training, and experience.
Demonstrable knowledge and experience in Generative AI, Large Language Models, and their applications on mobile sensor data collected in lab and in the wild.
6+years of experience in one or more of the following programming languages: Python, Java, Android, MATLAB, R.
Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams.
Publications in top-tier AI computing venues including but not limited to NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL.
Special
Attributes:
Experience in NLP and Conversational AI.
Experience in LLM validation, reliability, toxicity/harmfulness avoidance.
Experience with building knowledge graphs from unstructured texts.
Experience with vector DB.
Strong mathematics background, especially statistics.
Turn the analyzed data into actionable insight and/or understandable visualization.
On-device implementation of ML/AI algorithms in C/C++/Java.
Clinical study design, IRB development, in-lab and/or in-the-wild data collection studies.
Product development and prototyping experience in order to implement and validate solutions.
Experience in designing and conducting studies of wearable devices or clinical-trials with human subjects both in lab and field settings.
Previous experience developing algorithms in healthcare research/industry using EMR/EHR and mobile/wearable sensor data.
Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data.
Proficiency in the Android/Tizen/iOS development environment with the ability to create fully working prototypes.
Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers.
Understanding of human factors, usability and comfort with wearable sensors.
Experience operating under HIPAA is a plus.
#J-18808-Ljbffr