Machine Learning Engineer

Job Summary

To develop and deploy machine learning algorithms for processing satellite imagery, the full-time Machine Learning Engineer will build robust data pipelines and production inference systems while collaborating with domain experts and engineering teams in a remote setting.

Key responsibilities

• Design and implement data pipelines for geospatial imagery and metadata, ensuring reliable data movement between annotation, storage, and model training systems
• Develop, adapt, and deploy machine learning models to automate annotation processes and evaluate model performance against labeled data
• Manage production systems, including debugging, observability, and secure configuration while maintaining data lineage and versioning

Required qualifications

• 5+ years of experience in machine learning engineering, data engineering, or backend software engineering
• Hands-on experience with modern ML frameworks for training and deploying deep learning models
• Experience building and operating services on major cloud platforms, including data and ML pipeline orchestration
• Strong Python application development skills
• Bachelor's degree in Computer Science, Machine Learning, Data Engineering, Geospatial Science, or a related discipline, or equivalent experience