Founding ML Engineer
Core
Building the first real-time quality control system for welders using acoustics to detect defects on edge devices, serving the hardtech manufacturing industry.
Role type
Founding ML Engineer (Edge AI & Systems)
Builds
Real-time acoustic defect detection models deployed on embedded hardware for industrial welding applications.
Domain
Hardtech / Industrial Manufacturing / Edge AI
Deliverable
production ML models
Required skills
ML experiment loop design, model quantization and pruning, embedded Linux/FPGA deployment, cloud infrastructure management, data pipeline orchestration, field data acquisition, model governance
Preferred skills
Agent-driven hyperparameter search, distributed experiment orchestration, industrial sensor integration
Technologies
AWS (S3, EC2), ARM Cortex, embedded Linux, FPGA, Python
Responsibilities
Design and operate end-to-end ML experiment loops including dataset versioning and training pipelines; Optimize models for real-time inference on embedded hardware with strict latency and memory constraints; Deploy and validate models on field devices and manage the full production pipeline; Collect and manage high-quality field data from industrial environments; Collaborate with hardware teams on sensor-to-model integration and inference requirements; Define evaluation standards and model governance for scaling from pilot to production.
Seniority
Founding, hands-on IC with strategy ownership
