Applied Machine Learning Engineer - Remote Sensing & Analytics

Overview

Orbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled, persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture & Forestry, Environmental & Emergency Monitoring, and Defense & Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally.

In Short

• Identify and solve real problems: Collaborate with scientists to understand needs, then design and build the infrastructure to address them.
• Build production ML systems: Develop robust pipelines using orchestrators (Prefect, Airflow, Dagster) that move models from research to production.
• Create internal tools: Build developer-friendly tools that accelerate team productivity and model development workflows.
• Own the ML infrastructure: Design and maintain model repositories, experiment tracking, monitoring, and deployment systems.
• Bridge theory and practice: Apply ML theory to solve practical problems while building scalable, production-ready solutions.
• Optimize for impact: Focus on cloud resource optimization, model performance, and system reliability that directly supports product goals.
• Drive continuous improvement: Establish CI/CD, automated testing, and monitoring systems that ensure robust, reliable deployments.

Requirements

• 3+ years of experience as an applied ML engineer or research engineer.
• BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics, or related field.
• Strong foundation in ML theory combined with hands-on experience building production systems.
• Comfortable developing internal tools, APIs, and user interfaces that solve real problems.
• Proven experience architecting and maintaining complex workflows in orchestration frameworks.
• Track record of identifying needs, proposing solutions, and driving projects to completion.
• Hands-on experience deploying, monitoring, and maintaining ML models in cloud environments (AWS).

Benefits

• Pioneering Technology: Be part of a company at the cutting edge of hyperspectral technology, making a real impact on industries and global challenges.
• Growth Opportunity: Join a rapidly expanding team with ample opportunities for professional development and career advancement within the sales organization.
• Impactful Work: Contribute to solutions that address critical issues in sustainability, security, and resource management.
• Collaborative Culture: Work alongside a passionate and innovative team of engineers, data scientists, and industry experts.