Data Scientist, Machine Learning

Rx360 is building a wearable and AI companion that helps seniors live independently and stay connected to the people who care about them. Our mission is to give older adults confidence in their everyday lives, and to give their families peace of mind.
Our team works across hardware, firmware, software and AI. We move quickly, care deeply about the people we build for, and hold a high bar for quality and trust.
We're looking for a Data Scientist to turn what our wearable senses into intelligence that keeps seniors safe. You'll build the machine learning behind fall detection and fall-risk prediction, and the health and activity insights our AI companion shares with seniors and their supporters. You'll own models from raw sensor data and labels through validation and deployment, on the band and in the cloud.

What You Will Do
• Build and own ML models for fall detection on the Rx360 band, using IMU, barometer and PPG signals, with high sensitivity and very few false alarms
• Develop fall-risk and fall-prevention models that spot changes in gait, activity, sleep and heart rate over days and weeks, so supporters can act before a fall happens
• Build our datasets from real-world wear by older adults, including data collection, labeling and ground-truth processes with pilot and clinical partners
• Design validation plans and success metrics, such as sensitivity, false alarms per wearer-day and time to alert, and run validation studies in pilots
• Work with firmware engineers to run models on the band within tight memory, compute and battery limits, through feature design, model compression and quantization
• Define the sensor data we capture and how it flows from band to cloud, and build the pipelines and tooling that keep it clean, labeled and usable for training
• Turn sensor data into everyday insights, such as steps, activity, sleep, heart rate trends, wear time and anomalies, for our AI companion and supporter app
• Monitor model performance in the field, investigate misses and false alarms, and retrain and improve models over time
• Partner with product, hardware, firmware, software, clinical and AI teams to shape requirements and decide what to build next
• Handle health data responsibly, with privacy, consent and security built into how we collect, store and use it
• Communicate results, trade-offs and risks clearly to technical and non-technical colleagues

What You'll Bring
• 5+ years of experience in data science or machine learning, including models shipped to production
• Required: at least 2 hours of overlap each day with U.S. Central time (CT) working hours to collaborate with our U.S. team
• Hands-on experience with time-series sensor data, such as accelerometer, gyroscope or PPG, including signal processing and feature engineering
• Strong Python and experience with deep learning frameworks such as PyTorch or TensorFlow, along with classical ML methods
• Experience with rare-event problems and imbalanced data, and sound judgment on evaluation, error analysis and the cost of false alarms versus misses
• Experience deploying models to resource-constrained or embedded devices, or working closely with firmware engineers to do so
• Experience designing data collection and labeling, and building data pipelines (SQL, cloud data tools)
• Excellent written and spoken English
• Comfort working remotely and asynchronously across time zones
• Curiosity, persistence and a bias for action
• Empathy for older adults and the people who care for them

Nice to Have
• Background in digital health, wearables or connected medical devices, including clinical validation studies
• Experience with on-device ML tools such as TensorFlow Lite for Microcontrollers or Edge Impulse
• Familiarity with health data privacy and regulatory requirements (GDPR, HIPAA, FDA or MDR)
• Startup experience through early launches
How to Apply
Send your CV, a short note about a model you took from raw sensor or real-world data to production and what you learned along the way, and a sample of your work (a repo, notebook, paper or write-up, redacted if needed).
Rx360 is an equal opportunity employer. We welcome candidates of all backgrounds and do not discriminate on the basis of any protected characteristic.