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.

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.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.