LVIS Logo

LVIS

Research Scientist

Reposted One Month Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
120K-140K Annually
Senior level
In-Office
Palo Alto, CA, USA
120K-140K Annually
Senior level
Develop and validate ML and deep learning algorithms for neural time-series and neuroimaging data. Perform signal processing, neural signal decoding, and collaborate with scientists, engineers, and physicians to deploy AI-driven neurology tools.
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

Benefits

Salary Range

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

LVIS Palo Alto, California, USA Office

Palo Alto, CA, United States, 94303

Similar Jobs

11 Days Ago
Hybrid
Santa Clara, CA, USA
203K-354K Annually
Senior level
203K-354K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead research in agent learning and recursive self-improvement for enterprise AI agents. Design post-training methods, agent harnesses, training environments, evaluations, and distributed pipelines across language and multimodal systems. Analyze failures, develop training signals, run rigorous experiments, and transition validated improvements into reliable production systems. Collaborate with research, engineering, infrastructure, security, and product teams while communicating results through publications, patents, reports, and open-source work.
Top Skills: DeepspeedFsdpKubernetesMcpMegatronOpenrlhfPythonPyTorchPytorch DistributedRaySglangSlurmTrlVerlVllm
12 Days Ago
Hybrid
Santa Clara, CA, USA
232K-405K Annually
Senior level
232K-405K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead high-impact research in agent learning and recursive self-improvement. Design post-training methods, agent harnesses, training environments, evaluations, and distributed pipelines for reliable enterprise agents. Investigate planning, reasoning, memory, tool use, multimodal capabilities, and long-horizon execution. Analyze failures, run rigorous experiments, build improvement loops, and transition validated research into production systems. Provide technical leadership across teams and communicate results through reports, publications, patents, benchmarks, and open-source contributions.
Top Skills: Distributed InferenceDistributed TrainingDpoGpu InfrastructureGrpoKnowledge RetrievalLarge Language Models (Llms)Model Context Protocol (Mcp)Multimodal ModelsPythonPyTorchReinforcement LearningReward ModelingSupervised Fine-Tuning (Sft)
17 Days Ago
In-Office
San Francisco, CA, USA
Junior
Junior
Artificial Intelligence
Own the measurement and improvement of model learning from tasks. Collaborate with frontier labs to design post-training recipes and data-quality techniques, run in-house evaluation systems, develop datasets and data products, assess acquired data, and build scalable ingestion and evaluation systems. The role requires production reinforcement learning experience at a frontier lab and end-to-end LLM post-training expertise.
Top Skills: CursorNode.jsPostgresReactRedisTypescriptVercel

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