Computer Vision Engineer
il y a 3 heures
About Us
Rubicon is a next-generation startup developing start-of-the art AI technology for synthetic aperture radar systems. We operate in a fast-moving, high-ownership and highly iterative engineering culture that focuses on getting things done.
About the Role
We are looking for a computer vision engineer to develop Earth observation ML/DL models using multispectral, hyperspectral, LiDAR and SAR data from both open-source & commercial sensors.
You will work alongside other experienced developers in SAR and other EO technologies.
Besides developing models, you will also support customers and partners.
Responsibilities
- Collect and process raw satellite imagery data: assessing quality, cleansing, structuring for downstream processing
- Design deep learning/CNN-based algorithms leveraging several TB of data
- Collaborate with researchers to stress-test findings and finetune algorithms
- Collaborate with the rest of the team to develop end-to-end commercial solutions around these algorithms
- Provide input on and contribute to software development projects
Qualifications
- PhD or master's degree from a top engineering school with curriculum in both ML AND remote sensing technologies
- At least 2 years' of experience in data science AND using satellite data (you need to be at ease using typical data formats, geographic systems, technical and theoretical concepts)
- Fluency in Python (Scikit learn, Tensorflow-keras, PyTorch)
- Comfortable with basic tasks of MLOps
- Any experience with SAR data is a plus
Ways of Working
- Engineering mindset oriented toward practical solutions, not academic perfection
- Highly comfortable with daily iterations and problem-solving involving the rest of the team - we do not work in silos.
- Highly autonomous and execution-driven
- Comfortable operating with incomplete specifications
- Willingness to take full ownership of technical outcomes
Why Join Rubicon
- You will work on real cutting-edge solutions as part of a high-caliber team
- You will have direct influence on design choices and improvements
- You will see your work move quickly from prototype to deployment
- High-caliber environment that values technical depth, pragmatism, and ownership
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