AI / Embedded ML Engineer

Join our team as an AI / Embedded ML Engineer, where you will be responsible for the full lifecycle of AI/machine learning on resource-constrained hardware. You will work closely with cross-functional teams, including hardware engineers, firmware developers, and data scientists, to deliver production-ready ML solutions on embedded devices. This position is based in Saratoga, CA.

• Design and build data ingestion pipelines from sensors, handle raw sensor data, and build tools to collect and manage training datasets.
• Develop and train ML models for classification, regression, anomaly detection, and signal processing tasks, and optimize models for deployment on microcontrollers and edge processors.
• Collaborate with cross-functional teams, document design decisions, and stay current with developments in TinyML, embedded AI, and edge computing.
• Strong understanding of memory-constrained and power-constrained environments
• Proficiency in Python for ML development using frameworks such as PyTorch, TensorFlow, or scikit-learn
• 2+ years of experience in machine learning engineering, with at least 2 years focused on embedded or edge ML
• Experience deploying models with at least one embedded ML framework such as TFLite Micro, Edge Impulse, or ONNX Runtime
• 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
• Experience with C or C++ for embedded systems development
• Solid understanding of model optimization techniques including quantization, pruning, and distillation
• Experience with RTOS platforms such as FreeRTOS or Zephyr
• Familiarity with MCU families including NXP, STM32, ESP32, or similar
• Experience designing hybrid edge-LLM pipelines or integrating small language models on device
• Experience with hardware-aware neural architecture search or AutoML for edge targets
• Background in feature extraction techniques such as FFT, filter banks, and wavelet transforms
• Familiarity with Rust for embedded or systems programming
• Prior work on products in wearables, robotics, industrial sensing, or IoT
• Excellent problem-solving skills and the ability to work independently and as part of a team