Research Scientist

LVIS Corporation; Palo Alto (CA); On-site; USD 120,000 - 140,000; Full time

Job summary

LVIS Corporation, headquartered in Palo Alto, CA, is seeking a highly skilled AI/ML researcher or engineer with a PhD and extensive experience in time-series analysis and signal processing. You will apply Python-based frameworks (PyTorch, SciPy, NumPy) to develop and validate complex AI models for neurological care.

Ideal candidates will have 5+ years in relevant analysis, strong ML/DL knowledge for medical applications, and excellent collaboration skills within an interdisciplinary team of

Qualifications

• PhD in one of the specified fields.
• Minimum 5+ years in time-series data analysis and signal processing.
• Proficiency in Python with PyTorch, SciPy and NumPy.
• Strong understanding of ML and DL in medical settings.
• Experience developing and validating AI models in Python.
• Excellent communication and collaboration with interdisciplinary teams.

Skills

Time-series analysis

Signal processing

Python

PyTorch

SciPy

NumPy

Machine learning

Deep learning

Communication

Education

Ph.D. in Electrical Engineering or Computer Science, Mathematics, Physics, Statistics

Tools

PyTorch

SciPy

NumPy

Job description

Company Description

LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. We have an international team with our headquarters located in Palo Alto, California, USA, and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in our mission to transform the neurology health care industry.

Minimum Qualification (Required)

• Must have a Ph.D. in Electrical Engineering or one of the following fields: Computer Science, Mathematics, Physics, Statistics
• Minimum 5+ years in time-series data analysis and signal processing
• Proficiency in Python and hands‑on experience with frameworks such as PyTorch, SciPy, Numpy
• Strong understanding of machine learning and deep learning algorithms and their applications in medical settings
• Proven experience in developing and validating complex algorithms and AI models in Python
• Excellent communication skills and ability to collaborate within an interdisciplinary team of scientists, engineers, and physicians

Preferred Qualifications

• First‑author publications at peer‑reviewed journals and conferences
• 2+ years of post‑doctoral or previous industry experience
• Experience with neural signal decoding (EEG, ECoG, sEEG)
• Experience with signal source localization or neuroimaging data analysis

Salary Range

• Expected base salary range: $120,000 – $140,000 annually.
• Actual compensation may vary based on experience, skills, qualifications, and location.