Machine Learning Engineer, Sylvera

• Achieved BSc, MSc or PhD in Computer Science, Machine learning, Remote Sensing or a related technical field or relevant work experience
• Has prior industry experience in building and deploying scalable deep learning and machine learning solutions and data pipelines
• Possesses industry experience writing production-ready code in Python & is familiar with Github
• Has proficiency with Linux, and ML frameworks (preferably Pytorch)
• Has familiarity with Satellite data, aerial data or other geospatial data products
• Cares about the climate and ecosystems of Earth, and to want to change incentives so they get valued and protected

Desirable

• Having found early product-market fit in a nascent, rapidly growing space, we’re now scaling our Machine Learning team at pace. We’re looking for a mission-driven engineer to join our cross-functional machine learning team
• Specific responsibilities will include:
• Working on high-impact projects and innovating new solutions to problems in the earth observation space and machine learning
• Working closely with other machine learning engineers, MLOps and remote sensing engineers to process data from various satellite & Geospatial sources
• Develop cutting-edge machine learning models and algorithms operating on remote sensing data