Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff SW Engineer, Machine Learning in the United States.
This role sits at the intersection of advanced machine learning, geospatial intelligence, and production-scale software engineering, focused on transforming satellite and remote sensing data into actionable intelligence. You will design and deploy ML systems that power real-time analytics for complex domains such as computer vision, time series forecasting, and natural language processing. The position requires deep technical expertise in building production-ready models and integrating them into scalable cloud-based systems. You will collaborate closely with analytics, infrastructure, and engineering teams to bring research-driven solutions into operational environments. The work is highly experimental yet production-focused, combining model development, algorithm design, and system integration. You will contribute to mission-critical applications used for monitoring global events and supporting high-stakes decision-making. The environment is fast-moving, technically rigorous, and centered on applied innovation at scale.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff SW Engineer, Machine Learning in the United States.
This role sits at the intersection of advanced machine learning, geospatial intelligence, and production-scale software engineering, focused on transforming satellite and remote sensing data into actionable intelligence. You will design and deploy ML systems that power real-time analytics for complex domains such as computer vision, time series forecasting, and natural language processing. The position requires deep technical expertise in building production-ready models and integrating them into scalable cloud-based systems. You will collaborate closely with analytics, infrastructure, and engineering teams to bring research-driven solutions into operational environments. The work is highly experimental yet production-focused, combining model development, algorithm design, and system integration. You will contribute to mission-critical applications used for monitoring global events and supporting high-stakes decision-making. The environment is fast-moving, technically rigorous, and centered on applied innovation at scale.
