Jobs / United States / Samsung Research America INC
Staff AI Research Engineer - Digital Health
Samsung Research America INC · 🇺🇸 665 Clyde Avenue, Mountain View, CA, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 55 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 18 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Samsung Research America INC paid sponsored hires in similar roles9 certified filings for “Senior Researcher, AI Research” (Computer and Information Research Scientists) in CA: $134k–$164k, median $164k. Most were filed at wage level II (78%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Samsung Research America INC
The US Department of Labor certified 55 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 18 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Samsung Research America INC →
About the role
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. 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 AI Research Engineer with solid ML/AI technology background and digital health-related research project experiences in digital biomarker, physiological signal processing and deep learning. You need to have a strong track-record of success in academic and/or industrial settings, with the ability to scale algorithms and models to large, real-world datasets. You will play a key role in delivering innovation in digital health domain, creating technologies and intellectual properties, deploying and validating novel algorithms, and transferring mature outcomes to production and scientific publications in top-tier venues. We expect candidates who have solid data analytics skills and project experiences in areas such as health foundation models pre and post training, wearable computing, and algorithm development for health applications. Your work will significantly benefit real-world wearable users, 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: • Research and develop novel AI/ML algorithms and foundation models for physiological signal processing, sensor fusion, and digital biomarkers in wearable health applications, leveraging self-supervised learning, transformer models, and computer vision models on very large-scale real-world user datasets • Design and implement deep learning and statistical models to analyze multi-modal biosignals (e.g., EEG, ECG, PPG, motion data) in real-time and batch settings • Scale algorithms to handle large, multi-terabyte datasets from wearables and biomedical sensors on cloud platforms (AWS, GCP, Azure) while maintaining algorithmic efficiency • Collaborate with hardware and software engineers to integrate AI models into wearable platforms, ensuring efficient on-device inference • Conduct feasibility studies, benchmark AI-driven features, and refine models for accuracy and scalability across diverse populations • Work with clinical and regulatory teams to ensure model robustness, validation, and compliance with healthcare standards • Stay up-to-date with the latest advancements in digital health, computational neuroscience, and edge AI to drive innovation in wearables • Generate patents and scientific research papers for top-tier publications Required Skills: • PhD in AI, Machine Learning, Biomedical Engineering, Computer Science, or a related field or equivalent combination of education, training, and experience • 3+ years of experience in data analytics and project experiences in areas such as health foundation models pre and post training, wearable computing, and algorithm development for health applications • 3+ years of experi