Real-Time Time-Series ML Engineer (Remote)

LiquidXR in Los Angeles is seeking a Machine Learning Engineer to develop real-time models for multimodal sensor data from next-gen wearables. You will build robust time-series algorithms that operate under noise and latency constraints, enabling production-ready inference.

The ideal candidate has strong experience in time-series ML, transfer learning, and edge deployment, with a track record of delivering scalable ML for real-world datasets.