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E-Space

AI / Embedded ML Engineer

Saratoga, CA$150k–$225kfull-timemidAdded 1 month 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
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E-Space

E-Space builds LEO satellite constellations and ground infrastructure for global IoT and wireless communications, with advanced solar power systems. The company is hiring across manufacturing engineering, wireless systems validation, modem software development, network protocols, and specialized materials engineering roles.

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Likely interview questions

  • Walk us through your experience optimizing machine learning models for resource-constrained hardware—what techniques have you used to reduce latency and power consumption?
  • Describe a project where you deployed an ML model on an embedded device. What challenges did you face with inference performance or memory limitations, and how did you solve them?
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