Sr. Ai / Embedded Ml Engineer

694

Saratoga, CA, United States
On-site
Ai/ml lifecycle
Resource-constrained hardware
Sensor data processing
E-Space is seeking a Senior AI/Embedded ML Engineer to develop and optimize machine learning systems for resource-constrained hardware within their innovative space-based communications initiative. The role emphasizes collaboration across various teams to deliver advanced, low-power solutions that enhance IoT capabilities in space

Job Summary

  • This role is critical for building reliable, low-power, real-time ML systems that operate at the edge.
  • In this role, you will leverage your expertise in sensor data processing, lightweight model design, embedded software, and hybrid LLM integration to deliver production-ready ML solutions on hardware.
  • This position will report to Head of Product Engineering, and you will work closely with hardware, firmware, software, and data teams.

Matching Summary

Match Score: 85

E-Space is seeking a Senior AI/Embedded ML Engineer to develop and optimize machine learning systems for resource-constrained hardware within their innovative space-based communications initiative. The role emphasizes collaboration across various teams to deliver advanced, low-power solutions that enhance IoT capabilities in space.

Skills & Requirements

Must-have

  • AI/ML lifecycle
  • resource-constrained hardware
  • sensor data processing
  • lightweight model design
  • embedded software
  • hybrid LLM integration

Nice-to-have

  • innovate space-based communications
  • expand global economies
  • protect space and our planet

Key Requirements

  • Senior level experience
  • Full lifecycle AI/ML experience
  • Embedded systems experience

Work Rights

Not specified

Tailored Resume

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