AI / Embedded ML Engineer
AI summary of the role
E-Space seeks an AI/Embedded ML Engineer to own the full lifecycle of machine learning on resource-constrained hardware for its LEO satellite IoT system.
What you’ll do
- Design and build data ingestion pipelines from sensors including IMUs, accelerometers, gyroscopes, microphones, and other environmental sensors
- Develop and train ML models for classification, regression, anomaly detection, and signal processing tasks
- Optimize models for deployment on microcontrollers and edge processors using quantization, pruning, and knowledge distillation
- Integrate ML inference into embedded firmware written in C, C++, or Rust and work with RTOS environments such as FreeRTOS and Zephyr
What you’ll bring
- 2+ years of experience in machine learning engineering, with at least 2 years focused on embedded or edge ML
- Strong background in signal processing, sensor data handling, and real-time system constraints
- Hands-on experience with IMUs and other sensor types including accelerometers, gyroscopes, barometers, and microphones
- Proficiency in Python for ML development using frameworks such as PyTorch, TensorFlow, or scikit-learn
Technologies
TensorFlow Lite Micro · Edge Impulse · ONNX Runtime · ExecuTorch · PyTorch · TensorFlow · scikit-learn · FreeRTOS · Zephyr · ARM Cortex-M · RISC-V · DSP
About E-Space
Builds a sustainable low-Earth-orbit satellite mesh network for hyper-scaled IoT and Smart-IoT, plus 5G and command-and-control services, with in-house solar and satellite manufacturing.
Seed · 100–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model
More from the job description
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model development, optimization, and deployment on embedded devices. 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 [... source excerpt omitted ...] ch or AutoML for edge targets • Familiarity with Rust for embedded or systems programming • Prior work on products in wearables, robotics, industrial sensing, or IoT Additional Requirements This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected. This is a full time, exempt position, based out of our Saratoga office. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct [... source excerpt omitted ...] ly able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities f
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