Job Title: Machine Learning Engineer - Sensor Data & Time Series
Location: Bengaluru, Karnataka (Work from Office)
Employment Type: Full-Time
About Us
We're building the first precision health platform for pets - a sensor-driven, AI-powered ecosystem that decodes the health signals dogs give off every day. The ones most people miss.
It starts with EverBowl, a clinical-grade device that reads:
- Hydration & intake
- Body temperature
- Eating behavior
- Sound of a bite
...all building toward a single daily wellness score. Paired with our app and Protect+ (our insurance-rewards membership), we're helping pet parents move from guesswork to knowing.
We are not building another pet gadget. We're building models that actually work in the field - not just in a notebook. That's the problem this role exists to solve.
Role Overview
We're looking for a hands-on ML Engineer to build and ship models across our sensor-driven product ecosystem. You'll work closely with the ML Lead on digital signal processing, computer vision,
and time series problems - taking models from early prototype to reliable, production-deployed systems.
What You'll Do
- Build and iterate on ML models for time series, audio signal, and sensor fusion problems under the guidance of the ML Lead
- Build and maintain data preprocessing and feature engineering pipelines that prepare sensor data for training and inference at scale
- Package and deploy models into production, including on edge or embedded compute, with attention to latency and resource constraints
- Run structured experiments to evaluate model accuracy, generalization, and failure modes - and document findings clearly
- Support monitoring and retraining pipelines that track model performance and drift after deployment
- Work closely with firmware, hardware, and app teams to turn model outputs into transparent, actionable product insights
Requirements (mandatory)
- B.Tech in Computer Science, Electrical Engineering, or related field from a Tier