E-Space
AI / Embedded ML Engineer
Saratoga, CA$150k–$225kfull-timemidAdded 2 days ago
About this role
E-Space is seeking an AI/Embedded ML Engineer to develop and deploy machine learning solutions on resource-constrained hardware for their LEO-based satellite IoT network. You'll manage the complete ML lifecycle—from data handling through model optimization to edge device deployment—enabling real-time, low-power intelligence for global connectivity.
What you'll do
- Design and optimize machine learning models for deployment on embedded devices with limited resources
- Handle data ingestion pipelines and develop lightweight model architectures for edge computing
- Implement and integrate hybrid LLM solutions into embedded systems
- Process and analyze sensor data for real-time applications
- Collaborate with hardware, firmware, software, and data teams on production-ready implementations
- Ensure reliable, low-power operation of ML systems in space-based and terrestrial environments
What they're looking for
- Machine learning model development and optimization
- Embedded systems programming
- Sensor data processing
- Edge AI and on-device inference
- Low-power system design
- Model compression and quantization techniques
- Large language model integration
- IoT and real-time systems
Opens the official application on the employer’s site. No login required.