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Tech Stack
Tools & technologiesGoogle Cloud PlatformPyTorchTensorflow
About the role
Key responsibilities & impact- Own the end-to-end design of ranking models for in-view short-form content
- Implement Post-training RL techniques to align model outputs with complex user satisfaction metrics
- Build and maintain high-throughput pipelines in GCP using TensorFlow/PyTorch
- Provide technical guidance to IC1-IC2 engineers on the pod
- Identify and tackle systemic biases in how short-form content is surfaced
Requirements
What you’ll need- 5–8+ years of experience in MLE
- proficient background in Reinforcement Learning
- proficiency in GCP
- proficiency in TensorFlow
- proficiency in PyTorch
- experience in video-first social or streaming apps (preferred)
- background in multi-modal signal processing (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
Reinforcement LearningGCPTensorFlowPyTorchmulti-modal signal processing
Soft Skills
technical guidance