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Space Intelligence Specialist
3 weeks ago
Drive Innovation with Satellite Intelligence
About Little Place Labs
We reimagine how satellites process and deliver intelligence from orbit. Our team specializes in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.
Our vision is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.
As part of our team, you will be working on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations. We are a rapidly growing team of mission-driven, space enthusiasts who are passionate, innovative, and committed to a better future for planet Earth.
Job Description
As a key member of our data science team, you will design and implement state-of-the-art computer vision and machine learning models for satellite imagery, balancing performance with efficiency, power, and computational constraints.
You will work closely with the Head of Data Science, exploring different use cases for our technology, and strategizing the product and company's roadmap for the next 3-4 years.
Key responsibilities include:
- Proactively using modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).
- Designing and implementing cutting-edge machine learning solutions for satellite-derived analytics.
- Collaborating with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy's broader pipeline.
- Providing MLOps, orchestration, and workflow best practices.
- Cross-functional collaboration: Work with software teams, and product managers to integrate ML solutions into Orbitfy's broader pipeline.
- Staying ahead of emerging trends in Edge AI, ML, and remote sensing, and translating them into practical solutions for space applications.
- Processing large, complex datasets from diverse sensors; designing robust preprocessing, augmentation, and feature extraction workflows.
- Clearly articulating technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.
- Ensuring robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.
- Maintaining detailed documentation of algorithms, models, and processes; preparing reports and presentations for technical and non-technical audiences.
Success Metrics
- Delivery of LPL's machine learning modules on schedule for satellite missions or user trials.
- Work on the deployment of LPL's products for multiple satellite missions.
- Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.
- Effective collaboration and communication across distributed teams.
- Contributions that shape the product roadmap and strengthen Little Place Labs' position in edge-based space intelligence.
Requirements
Responsibilities include:
- Proactive use of modern AI tools to enhance productivity.
- State-of-the-art computer vision and machine learning models for satellite imagery.
- Excellent collaboration and communication skills.
- Strong problem-solving skills and ability to work independently.
- Experience with Edge AI, ML, and remote sensing technologies.
- Ability to maintain detailed documentation of algorithms, models, and processes.
- Excellent presentation and reporting skills.
