Machine Learning Engineer
Orbital SidekickLocation not specified
Full Time
Posted February 27, 2024
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Job Description
A Machine Learning Engineer responsible for designing and building machine learning infrastructure to support remote sensing data analysis, model training, and platform integration for a satellite data analytics company focused on Earth observation and environmental monitoring.
Key Responsibilities
- Build and design machine learning infrastructure for remote sensing data scientists
- Collaborate with Analytics and Software teams to develop data-driven products and solutions
- Manage infrastructure for experiment tracking, model training, inference, dataset version control, and imagery annotation
- Contribute to the full algorithm development process from human annotation to platform integration
- Engineer data collection and information delivery platforms
Requirements
- Build out and design machine learning infrastructure for a team of data remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
- Own infrastructure for experiment tracking, model training inference, dataset version control, and imagery annotation campaign creation and data extraction.
- Contribute to a cross-functional team responsible for the full algorithm development process, from human annotation to integration with the platform.
- Possess U.S. citizenship, lawful permanent residency in the U.S., or be eligible to obtain the required authorizations from the U.S. Department of State in accordance with ITAR regulations.
Benefits & Perks
Compensation/salary range (not specified in the posting)
Work schedule (not specified in the posting)
Work environment perks (not specified in the posting)
Opportunity to work on cutting-edge space-based infrastructure and hyperspectral satellite data
Collaborative cross-functional team environment
Ownership of infrastructure for experiment tracking, model training inference, dataset version control, and imagery annotation
Potential to contribute to impactful sectors such as Energy, Mining, Agriculture, Environmental Monitoring, and Defense Security
Inclusive and diverse community environment
Opportunity to work with advanced space technologies and proprietary platforms
Ready to Apply?
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