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Software Developer, Machine Learning​/ ML Engineer, Software Engineer

Job in Stanford, Santa Clara County, California, 94305, USA
Listing for: Stanford University School of Medicine
Seasonal/Temporary, Contract position
Listed on 2025-12-16
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Software Developer 1 (1 Year Fixed Term)
Location: Stanford

Software Developer 1 (1 Year Fixed Term)

Join to apply for the Software Developer 1 (1 Year Fixed Term) role at Stanford University School of Medicine
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The Department of Ophthalmology in the School of Medicine at Stanford University is launching an interdisciplinary Neuro‑AI project dedicated to building a foundation model of the brain. This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio‑X, and the Human‑Centered Artificial Intelligence Institute. Leveraging cutting‑edge advances in electrophysiology and machine learning, this project aims to create a functional “digital twin” — a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem‑solving.

This ambitious initiative promises to offer unprecedented insights into the brain’s algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human‑like neural representations. As part of this project, we are seeking talented software developers/engineers to support the whole team by developing and scaling the systems that allow our scientists to iterate quickly. In this role, you will play a critical role in ensuring the reproducibility and production‑readiness of our codebase, as well as implementing Continuous Integration and Continuous Deployment (CI/CD) processes for all teams involved in the project.

Your work will be essential in maintaining the highest standards of software quality, reliability, and efficiency.

This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias ((Use the "Apply for this Job" box below).), Tirin Moore () and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro‑AI research.

Role & Responsibilities
  • Develop and maintain reproducible, production‑grade software/library for various aspects of the project, including data processing, machine learning, and data/compute infrastructure management
  • Implement and manage CI/CD pipelines using tools like Git Hub Actions, Code Coverage, and unit testing frameworks
  • Collaborate with data scientists, machine learning engineers, and systems engineers to ensure seamless and timely integration of code and infrastructure
  • Help establish and enforce coding standards, best practices, and documentation guidelines across the project
  • Conduct code reviews and provide constructive feedback to maintain code quality and consistency
  • Optimize code performance, scalability, and reliability
  • Troubleshoot and debug software issues, and provide timely solutions
  • Stay up‑to‑date with the latest trends and best practices in software engineering and CI/CD methodologies
Duties Include
  • Assess user needs and requirements.
  • Design and develop applications that may involve sophisticated data manipulation.
  • Maintain and update existing programs.
  • Troubleshoot and solve technical problems.
  • Create programs to meet reporting and analysis needs.
  • Design and implement user and operations training programs.
  • Document changes in software for end users.
  • Follow team software development methodology.
  • Serve as technical resource with respect to applications.
  • * - Other duties may also be assigned
What We Offer
  • Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering.
  • Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.
  • Competitive salary and benefits.
  • Strong mentoring in career development.
Application

In addition to this application, please send your CV and one page interest statement to: recruiting

  • The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific…
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