LVIS Logo

LVIS

Research Scientist

Reposted 5 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
Senior level
In-Office
Palo Alto, CA, USA
Senior level
As a Research Scientist at LVIS Corporation, you will analyze time-series data and apply machine learning techniques to develop AI algorithms that enhance neurological care. Collaboration with diverse teams is essential for advancing medical solutions.
The summary above was generated by AI

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.


Requirements

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

Top Skills

Numpy
Python
PyTorch
Scipy
HQ

LVIS Palo Alto, California, USA Office

Palo Alto, CA, United States, 94303

Similar Jobs

12 Days Ago
Remote or Hybrid
Santa Clara, CA, USA
182K-310K Annually
Senior level
182K-310K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves building and optimizing large language models for the ServiceNow platform, requiring AI/ML expertise and collaboration with various stakeholders.
Top Skills: AIAi Productivity ToolsLarge Language ModelsMachine LearningPythonTransformer Architectures
3 Days Ago
Easy Apply
In-Office
Palo Alto, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Software • Generative AI
As an Applied Research Scientist, you will lead the design and deployment of Generative AI applications, mentor junior staff, publish research, and collaborate with teams to innovate solutions in professional services.
Top Skills: AnthropicAzureDspyGoogleJaxLangchainMetaOpenaiPythonPyTorchTensorFlow
3 Days Ago
Easy Apply
Hybrid
San Mateo, CA, USA
Easy Apply
250K-330K Annually
Senior level
250K-330K Annually
Senior level
Artificial Intelligence • Marketing Tech
Lead a team of ML researchers to innovate deep learning solutions in AdTech, managing projects while staying hands-on in coding and implementation.
Top Skills: AWSAzureC++GCPHadoopPcaPythonPyTorchSparkXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account