Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.
About the role
- Research state-of-the-art machine learning algorithms to solve network orchestration problems
- Develop machine learning training infrastructure using kubernetes clusters, and managing MLOps tooling
- Develop and maintain documentation related to novel algorithms developed by the team
- Integrate AI technology with other components of the Spacetime platform to ensure end-to-end functionality
- Interact with potential and existing customers on a regular basis, serving as a technical communication expert for machine learning related technologies developed at Spacetime
Requirements
- Masters or PhD degree in computer science, mathematics, statistics, or other fields related to machine learning
- Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools)
- Strong technical communication skills, and ability to communicate across multiple functions
- Ability to write clean, maintainable, and efficient code
- A strong desire to pitch and sell our amazing technology!
Benefits
- Competitive compensation package based on experience
- Hybrid working policy with flexible arrangements
- Exposure to cutting-edge technologies in space-ground integration, AI-driven networks, and cloud mission control
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
PA
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