Senior Software Engineer

Join a pioneering team as a Senior Software Engineer focused on machine learning research in geospatial solutions. Leverage your expertise in deep learning and modern architectures to advance innovative Earth Observation technology.

This hybrid position emphasizes critical contributions to designing, validating, and implementing advanced geospatial foundation models. You’ll blend knowledge in deep learning with hands-on development on earth observation datasets, driving impactful analytics for agriculture and beyond. Collaboration with fellow engineers ensures optimized model training and performance benchmarking.

Key Responsibilities:

• Research and design geospatial foundation models
• Train and fine-tune large-scale models on datasets
• Collaborate with engineers to optimize training
• Define metrics and experiments for model evaluation
• Contribute to sprint planning and retrospectives

Requirements:

• 7+ years in software engineering and deep learning
• Degree in Computer Science, Math, or related field
• Experience with cloud-based model training
• Knowledge of modern deep learning architectures
• Familiarity with Agile processes and cross-functional teams

Unleash your passion for geospatial technology to make substantial contributions to sustainable solutions and cutting-edge software development.