Founding AI/Machine Learning Engineer

Thehalochip — United States · Posted ~2 hours ago

Senior Full-time

Skills

Machine learning AI model development Model training Data pipelines Sensor data processing Embedded AI optimization Python Machine learning frameworks Embedded systems Microcontrollers Sensor data

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Summary ✨ AI‑Generated

A founding AI/ML engineering role focused on creating and optimizing machine learning models for a compact hardware device. The position involves building data pipelines, training models from sensor data, and deploying efficient AI solutions on resource-constrained systems.

Highlights

Early-stage opportunity to own AI model development, work on innovative device-based machine learning applications, and have significant technical ownership.

Description

About the Company Halo X Labs is building HALO Chip, a subdermal GPS and health-tracking implant for dogs. We're early-stage and currently raising, building out our founding technical team. About the Role We're looking for a Founding AI/ML Engineer to own the training and development of the two AI models that run directly on our device: a motion classifier for dead-reckoning location tracking, and a health classifier for fever and heatstroke detection. You'll work closely with our Head of Development, who owns AI strategy and firmware integration, while you own the hands-on model work: data, training, and getting these models small and accurate enough to run on a constrained, ultra-low-power microcontroller. Responsibilities Training data pipeline for both models, working with labeled sensor logs from bench and live-animal testingMotion classifier development: gait and activity classification from motion sensor dataHealth classifier development: fever and heatstroke detection from temperature and activity dataModel training, quantization, and compilation using Edge Impulse, targeting deployment on TensorFlow Lite MicroWorking directly with our Head of Development to integrate trained models into firmware and validate them against real power and memory budgets Qualifications Real experience training and deploying models for constrained hardware, TinyML / embedded ML, not just cloud-scale MLComfortable working with real-world sensor data (motion, temperature) rather than clean benchmark datasetsExperience with, or fast to pick up, Edge Impulse or a comparable embedded ML tooling workflowA 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 itComfortable working directly with a non-technical CEO and a small founding team Pay range and compensation package This is a founding, equity-only role equity in Halo X Labs. We are currently raising, and salary will begin shortly after you join, once funding closes. Equal Opportunity Statement We are committed to diversity and inclusivity.