Real-Time Time-Series AI Engineer (Edge/IoT)

BrightAI

Palo Alto (CA)

On-site

USD 180,000 - 250,000

Full time

6 days ago
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Job summary

BrightAI is seeking a Sr. AI Engineer specializing in time-series signal processing. You will develop real-time AI models for high-frequency multi-modal sensor data, spanning edge and cloud deployments. Strong focus on DSP, RNNs/LSTMs, and scalable pipelines.

The role involves leading research, collaborating with hardware/embedded teams, and delivering robust ML solutions for industrial telemetry and IoT systems.

Qualifications

  • Minimum 5+ years in signal processing and ML for time-series sensor data
  • Strong DSP fundamentals: filtering, FFT, feature extraction
  • Experience with RNNs/LSTMs and temporal convolutional networks
  • Experience with SCADA/industrial telemetry data
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow)

Responsibilities

  • Design and implement real-time signal processing and ML pipelines for multi-modal time-series data
  • Develop ML models for time-series classification, prediction, anomaly detection, activity recognition
  • Lead research and implementation of RNN-based architectures and temporal transformers
  • Collaborate with hardware, embedded, and product teams to deploy models on edge devices
  • Drive experimentation and optimize signal-processing techniques to improve inputs for models
  • Maintain scalable workflows for labeling, training, and evaluating multi-channel data

Skills

Time-series modeling
Real-time ML
PyTorch
TensorFlow
LSTMs
SHAP

Education

Bachelor's/Master's in Electrical Engineering, CS, or related field

Tools

PyTorch
TensorFlow
XGBoost
LightGBM
ONNX

Job description

BrightAI is seeking a Sr. AI Engineer specializing in time-series signal processing. You will develop real-time AI models for high-frequency multi-modal sensor data, spanning edge and cloud deployments. Strong focus on DSP, RNNs/LSTMs, and scalable pipelines.

The role involves leading research, collaborating with hardware/embedded teams, and delivering robust ML solutions for industrial telemetry and IoT systems.

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