Senior Computer Vision Engineer — Hybrid Space Tech

Observable Space; Los Angeles (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Equity opportunities

Hybrid LA office

Unlimited PTO

Health, dental, vision coverage

Cutting-edge tools

Mission-driven culture

Inclusive team

Job summary

Observable Space is seeking a highly experienced Computer Vision Engineer to join a rockstar team of engineers and scientists. The role reports to the CTO and focuses on end-to-end image processing pipelines for space-ground and on-orbit systems.

You will work on SDA/SSA, photometry, and state-of-the-art backbones, training models with PyTorch/TensorFlow, and collaborating with cross-functional teams. Hybrid LA office with strong research culture and equity opportunities.

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.

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.

Skills

Astrodynamics knowledge

C/C++ programming

PyTorch or TensorFlow

OpenCV techniques

Multidisciplinary research

Education

Masters or Ph.D. in Engineering/Mathematics or related field

Tools

Unet (DL backbone)

Vision Transformer

ResNet

Job description

Observable Space is seeking a highly experienced Computer Vision Engineer to join a rockstar team of engineers and scientists. The role reports to the CTO and focuses on end-to-end image processing pipelines for space-ground and on-orbit systems.

You will work on SDA/SSA, photometry, and state-of-the-art backbones, training models with PyTorch/TensorFlow, and collaborating with cross-functional teams. Hybrid LA office with strong research culture and equity opportunities.