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# Computer Vision Engineer

- **Company:** Observable
- **Location:** Los Angeles, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Machine Learning, OpenCV, Tensorflow, Software Engineering, Pytorch
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/computer-vision-engineer-observable-space-9775383

## About the Role

* 10+ years of experience in a relevant commercial or academic research field.
 * Strong foundation in mathematics or computational mathematics.
 * Strong and demonstrated programming ability in C++ or C in a professional environment
 * Demonstrated experience in first principles engineering and science.
 * Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects.
 * Experience in machine learning model training using PyTorch or TensorFlow.
 * Experience in classical vision techniques with an emphasis on OpenCV., * Masters or Ph.D. in Engineering, Mathematics, or a related field of study.
 * Experience in machine learning model training using PyTorch or TensorFlow.
 * Knowledge or experience in astrodynamics.

## Description

We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO., * Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications.

 * Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research.
 * Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)
 * Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse.
 * Design and generate simulated data for rapid testing of proof of concept algorithms.
 * Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases.
 * Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes.
 * Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights.


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