Key skills
Google Cloud PlatformPythonPyTorchSQLTensorflowMLTensorFlowQdrantGCPGoogle Cloud
About this role
Role Overview
- Design and deploy ML components for channel ranking and guide personalization
- Work with linear scheduling data to create features for program relevance
- Use Qdrant to group similar channels
- Train and iterate on models using TensorFlow/PyTorch
- Own delivery of defined tasks from data exploration to production deployment
Requirements
- 3+ years in MLE
- proficiency in Python/SQL
- experience with TensorFlow/PyTorch
- experience with GCP
- knowledge with FAST or Broadcast TV data structures (preferred)
- experience with Qdrant or similar vector databases (preferred)
Tech Stack
- Google Cloud Platform
- Python
- PyTorch
- SQL
- Tensorflow
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
- bonus eligible