ML Engineer: Real-Time Health Radar & Fall Detection

CodeRound; Hinoba-an; On-site; PHP 800,000 - 1,400,000; Full time

Job summary

CodeRound is seeking a Machine Learning Engineer to build and productionize ML models for radar-derived health insights in a HealthTech startup environment. You will work closely with hardware, data engineering, backend, and product teams to improve accuracy and deploy reliable ML systems across facilities.

The role emphasizes handling messy sensor data, writing production-grade Python code, and delivering safety-critical ML performance in real-world settings.

Qualifications

• Must be strong in classical ML and able to handle messy real-world sensor data.
• Ability to write clean, production-grade Python code for ML training, evaluation, and inference.
• Experience building models for radar/sensor data and health-related insights.

Responsibilities

• Build classical ML models (XGBoost, ensembles, anomaly detection, time-series) for fall detection and vitals monitoring.
• Engineer features from raw radar signal data, point-cloud data, and time-series streams.
• Contribute to CV-adjacent work like pose and movement estimation from radar data.
• Build data pipelines on Databricks for training, evaluation, and inference workflows.
• Perform exploratory data analysis on resident, device, alert, and facility-level data to identify patterns and edge cases.
• Own model evaluation for a safety-critical system (precision, recall, latency, false alarms).
• Analyze production model behavior across facilities, residents, devices, and time periods.
• Work with noisy real-world data (missing values, label quality issues, device variation).
• Write clean, modular, tested Python code for ML training, evaluation, feature engineering, and inference.
• Deploy, monitor, and improve models in production.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

Skills

Classical ML

Production-grade code

Radar data analysis

Data pipelines

Python

Tools

Databricks

Job description

CodeRound is seeking a Machine Learning Engineer to build and productionize ML models for radar-derived health insights in a HealthTech startup environment. You will work closely with hardware, data engineering, backend, and product teams to improve accuracy and deploy reliable ML systems across facilities.

The role emphasizes handling messy sensor data, writing production-grade Python code, and delivering safety-critical ML performance in real-world settings.