AI / Embedded ML Engineer
E-Space · Saratoga, CA
Extracted from the posting
Builds sensor data ingestion pipelines and trains ML models for classification, regression, and anomaly detection, then deploys them on microcontrollers and edge processors. Integrates inference into C, C++, or Rust firmware on FreeRTOS or Zephyr, and evaluates hybrid on-device and LLM pipelines. Reports to the Head of Product Engineering.
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. This position is based in Saratoga, CA.
What you will do:
What you bring to this role:
- • 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 • Experience with C or C++ for embedded systems development • Solid understanding of model optimization techniques including quantization, pruning, and distillation • Experience deploying models with at least one embedded ML framework such as TFLite Micro, Edge Impulse, or ONNX Runtime • Strong understanding of memory-constrained and power-constrained environments • Excellent problem-solving skills and the ability to work independently and as part of a team
Bonus points for the following:
Additional Requirements
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 experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed.
E-Space is not currently 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 for professional growth and development and the chance to make a meaningful impact in a high-growth industry.
We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:
• An opportunity to really make a difference
• Sustainability at our core
• Fair and honest workplace
• Innovative thinking is encouraged
• Competitive salaries
• Continuous learning and development
• Health and wellness care options
• Financial solutions for the future
• Optional legal services (US only)
• Paid holidays
• Paid time off
Compensation: USD 150,000 – 225,000 per year salary
