Senior AI Engineer, Time-Series Signal Processing
BrightAI Corporation7 months ago
Palo Alto, CA, USASenior
Responsibilities
- Design and implement real-time signal processing and ML pipelines for multi-modal time-series data.
- Develop and deploy ML models for classification, prediction, anomaly detection, and activity recognition.
- Lead research and implementation of RNN-based architectures and temporal transformer models.
- Collaborate with hardware and product teams to integrate models into edge devices.
- Drive experimentation and optimization of signal-processing techniques.
- Design and maintain scalable workflows for multi-channel time-series datasets.
- Stay current with advances in time-series modeling and incorporate them into product roadmaps.
- Ensure model robustness and reliability in production environments.
Requirements
- M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
- 5+ years of experience developing signal processing and ML solutions for time-series sensor data.
- Deep understanding of digital signal processing methods.
- Hands-on experience with RNNs and/or temporal convolutional networks.
- Proven experience with time-series data from physical sensors.
- Strong coding skills in Python and fluency with ML/DL frameworks.
- Experience in optimizing and deploying models in real-time environments.
- Fluency with best practices in data labeling and evaluation for time-series tasks.
- Excellent problem-solving and collaboration skills.
- Strong communication skills to convey findings to stakeholders.