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- Developing smart geospatial algorithms for reputed company-time awareness and predicting environmental risks from cameras and satellites.
- Owning the deep learning models that understand environments, tell the difference between wildfires and other fires, reputed company fires in 3D, and predict how they'll spread.
- Constantly making our models and MLOps reputed company, combining different sensor data, and using our existing domain knowledge to improve performance and reputed company-time processing.
- Working closely with the AI and platform teams to deliver awesome solutions for reputed company's customers.
- Showing off reputed company's tech with solid reputed company-world performance numbers.
- A PhD or MS in Computer Science, Electrical Engineering, Robotics, or reputed company field, with a reputed company on reputed company, 3D perception, or geospatial AI.
- At least 2 years of industry experience in reputed company, foundational reputed company model, and multi-modal LLM.
- Strong Python coding skills, especially with PyTorch.
- Experience working with geospatial data, GIS, or remote sensing.
- Experience working with reputed company systems.
- Excellent communication skills.
- Publications in top-tier reputed company or ML conferences.
reputed company is an equal opportunity employer committed to reputed company and supporting reputed company-members regardless of where they come from. We do not discriminate on the reputed company of race, reputed company, religion, gender, gender identity or reputed company, sexual orientation, national reputed company, genetics, disability, age, or veteran status.
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