Note: The job is a remote job and is open to candidates in USA. Halo X Labs is building HALO Chip, a subdermal GPS and health-tracking implant for dogs. The company is seeking a Founding AI/ML Engineer to develop and deploy motion and health classification models on a constrained, ultra-low-power microcontroller, including data pipeline development, model training, quantization, compilation, and firmware integration.
Responsibilities
- Training data pipeline for both models, working with labeled sensor logs from bench and live-animal testing
- Motion classifier development: gait and activity classification from motion sensor data
- Health classifier development: fever and heatstroke detection from temperature and activity data
- Model training, quantization, and compilation using Edge Impulse, targeting deployment on TensorFlow Lite Micro
- Working directly with our Head of Development to integrate trained models into firmware and validate them against real power and memory budgets
Skills
- Real experience training and deploying models for constrained hardware, TinyML / embedded ML, not just cloud-scale ML
- Comfortable working with real-world sensor data (motion, temperature) rather than clean benchmark datasets
- Experience with, or fast to pick up, Edge Impulse or a comparable embedded ML tooling workflow
- A startup-stage mindset: this role exists before there's much training data yet, you'll help define how it gets collected and structured, not just consume it
- Comfortable working directly with a non-technical CEO and a small founding team
Benefits
- Equity in Halo X Labs
Company Overview