Computer Vision Engineer
Observable Space•Los Angeles, CA
•$190,000 - $230,000
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
