Senior AI Research Engineer, Algorithms

Position Summary

Samsung Research America Digital Health Team is looking for an outstanding Ph.D.

-level Senior AI Research Engineer with solid ML/AI technology background and digital health-related research project experiences in digital biomarker, physiological signal processing, and multi-modality mobile sensing development. The candidate will play a key role in delivering innovation in the digital health domain, creating technologies and intellectual properties, deploying and validating novel technologies, and transferring mature outcomes to production and scientific publications in top-tier computing venues.

Strong data analytics skills and project experience in mobile health systems and wearable computing are expected.

• Collaborate with the project team to contribute to data analysis, performance evaluation, and other milestone-related tasks.
• Lead the development of innovative algorithms and ideas based on noisy signals from sensors, including light, audio, physiological, and inertial data collected in both lab and field settings.
• Train novel health foundation models from scratch and fine‑tune existing models to accelerate development of new health and wellness offerings for Samsung wearables.
• Design and execute pilot studies, create proof‑of‑concept prototypes, and develop demos using mobile sensors.
• Generate patents and publish scientific research in top‑tier journals and conferences.

• PhD in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, Health Sciences, or related field, or equivalent combination of education, training, and experience.
• 3+ years of experience in Signal Processing, Machine Learning, Deep Learning, and their applications to large-scale time‑series data.
• Proficiency in one or more programming languages:
  Python, Java, Android, MATLAB, or R.
• Strong interpersonal and collaboration skills, with the ability to present complex information clearly and effectively. Comfortable working in multi‑disciplinary teams.
• First‑author publications in top‑tier computing venues.

• Ability to turn analyzed data into actionable insights or clear visualizations.
• Experience in clinical study design, IRB development, and conducting in‑lab or in‑the‑wild data collection studies.
• Product development and prototyping experience to implement and validate solutions.
• Good understanding of human physiology and non‑invasive sensors for measuring digital biomarkers in health and behavior monitoring.
• Experience developing healthcare algorithms using EMR/EHR and wearable sensor data.
• Familiarity with HIPAA compliance.

$158,800 — $218,100 USD

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.

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

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 provides 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.

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