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Tech Stack
Tools & technologiesGoogle Cloud PlatformPyTorchTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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)
Benefits
Comp & perks- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringTensorFlowPyTorchGCPreal-time schedulingdata streamingcontent schedulingmodel implementationdata reorderingcontent affinity
Soft Skills
guidanceproblem-solvingproactive identificationmentorship
