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Remote Computational Neuroscience Software Engineer Jobs in California

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Fuku

Software Engineer

San Francisco, CA · On-site +1

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

YO AI Labs

AI/ML Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

VUPICO

Software Engineer

San Diego, CA · On-site +1

$138K - $178K/yr

... and remote work options. Salary: $138,000-$178,000 per year Join Our Team: If you are a talented and ambitious Software Engineer looking for an opportunity to grow and excel in a dynamic and ...

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Remote Computational Neuroscience Software Engineer information

What is the difference between Remote Computational Neuroscience Software Engineer vs Remote Machine Learning Engineer?

AspectRemote Computational Neuroscience Software Engineer
Required CredentialsDegree in neuroscience, computer science, or related fields; programming skills in Python, MATLAB
Work EnvironmentResearch labs, academic institutions, biotech companies, often collaborative and research-focused
Industry UsageNeuroscience research, cognitive science, biotech, pharmaceutical industries

While both roles involve programming and data analysis, a Remote Computational Neuroscience Software Engineer specializes in modeling brain functions and neural data, often within research or academic settings. In contrast, a Remote Machine Learning Engineer focuses on developing algorithms for various applications across industries like tech, finance, or healthcare. The key difference lies in domain expertise and application focus, though both roles require strong programming skills and data analysis experience.

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The most popular types of Computational Neuroscience Software Engineer jobs in California are:

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Remote Computational Neuroscience Software Engineer jobs near you

Senior Software Engineer - Remote

YO AI Labs

San Francisco, CA • Remote

$144K - $190K/yr

Full-time

Re-posted 14 days ago

Job description

Job Title: Senior Software Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Required Skills and Qualifications:

  • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  • Deep understanding of algorithms, data structures, and performance tuning.
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  • Strong background in feature development and codebase refactoring.
  • Proven ability to optimize software for performance and scalability.
  • Exceptional written and verbal communication skills, with a keen attention to detail.
  • Track record of success in collaborative, cross-functional teams, ideally in remote settings.


Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus, though not required.
  • Background in participating in rigorous code reviews and contributing to the development of software best practices.