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# Machine Vision Scientist in Stanford

- **Company:** Energy Jobline
- **Location:** Stanford, CA, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Vision, Experimental Data, Python (Programming Language), Object Detection, Tensorflow, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Information Technology, Data Pipelines
- **Published:** August 1, 2026
- **Apply:** https://www.energyjobline.com/job/machine-vision-scientist-stanford-31299889

## About the Role

The Haroush Lab at Stanford is seeking a Postbaccalaureate Machine Vision Scientist to help build and refine tools for tracking behavior in systems neuroscience experiments. This is a full-time research position for a recent college graduate with a strong quantitative or computational background who wants to take on real technical ownership at the intersection of computer vision and neuroscience, developing skills and a publication record that carry directly into graduate school or advanced research roles., * Bachelor's degree in neuroscience, computer science, engineering, physics, or a related quantitative field, completed within the last 1-3 years.
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 * Strong Python programming skills, with experience writing new pipelines that can be integrated into experimental workflows.
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 * Hands-on experience with computer vision and deep learning - through advanced coursework, independent research, or personal projects - ideally including pose estimation, object detection, segmentation, multi-object tracking, or video analysis.
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 * Ability to configure models and environments to run on GPUs, using frameworks such as PyTorch or TensorFlow.
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 * Strong experience with data pre-processing, cleaning, and management.
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 * Ability to adapt or move beyond existing templates and frameworks when a problem calls for it.
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 * Strong written and oral communication skills, and the ability to work collaboratively in a small research team.
\n, Experience working with large, multi-modal datasets (e.g., video paired with behavioral or other experimental measurements).

## Description

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 * Develop and maintain machine vision pipelines for use in experimental settings.
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 * Write and test video and data analysis software and assist with linking these systems to the lab's broader experimental infrastructure.
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 * Help set up, calibrate, and troubleshoot multi-camera recording setups; support synchronization of video and other experimental data streams.
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 * Assist with analysis of experimental datasets, and help build and document clean, reproducible data pipelines.
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 * Learn and apply new computational tools as the lab's methods evolve and contribute ideas for improving existing workflows.
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