Machine Learning Engineer - Kubo Care
Location: Bengaluru, India — Hybrid/Onsite
Experience: 3–4 years
LinkedIn: Kubo Care
About Us

Kubo Care builds AI-powered, radar-based ambient health monitoring for senior living. Our platform detects falls and tracks vitals without cameras or wearables, helping caregivers monitor residents while preserving privacy and dignity.
We are live across homes and senior living facilities in India and the US, working with real-world radar, IoT, health, and operational data.

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data. You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.
This role is ideal for someone who is solid in classical ML, comfortable with messy real-world sensor data, and able to write clean production-grade code.

What You'll Do





Build classical ML models such as XGBoost, ensembles, anomaly detection, and time-series methods for fall detection, vitals monitoring, and health risk scoring.
Engineer features from raw, sparse, and noisy radar signal data, point-cloud data, and time-series sensor streams.
Contribute to CV-adjacent work such as pose, skeleton, movement, and activity 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, edge cases, and model improvement opportunities.
Own model evaluation for a safety-critical system, including precision, recall, sensitivity, specificity, false alarms, missed events, and detection latency.
Analyze production model behavior across facilities, residents, devices, and time periods.
Work with noisy real-world data, including missing values, label quality

📌 Machine Learning Engineer (Bengaluru)
🏢 Proof-of-Skill
📍 Bengaluru