Key skills
Google Cloud PlatformPyTorchTensorflowTensorFlowGCPGoogle Cloud
About this role
Role Overview
- Architect and implement models that dynamically reorder or highlight channels within the PlutoTV EPG
- Design models that assist in content scheduling decisions based on user preferences and content affinity
- Deliver production-ready code in TensorFlow and PyTorch within our GCP infrastructure
- Proactively identify and mitigate issues related to 'live' data streams and real-time scheduling constraints
- Guide junior engineers in the nuances of Linear TV data and FAST-specific success metrics
Requirements
- 5–8+ years of experience in MLE
- knowledge with GCP
- proficiency in TensorFlow and PyTorch
- Direct experience with FAST apps or linear TV scheduling (preferred)
- experience with 'Always-on' streaming data (preferred)
Tech Stack
- Google Cloud Platform
- PyTorch
- Tensorflow
Benefits
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO