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Principal Machine Learning Engineer
ParamountPrincipal Machine Learning Engineer driving technical strategy and architecture for short-form personalization at Paramount. Mentoring engineers and optimizing ranking systems for long-term user satisfaction.
Posted 5/16/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $233,000 - $350,000 per yearWebsite
Tech Stack
Tools & technologiesGoogle Cloud PlatformPyTorchTensorflow
About the role
Key responsibilities & impact- Own the multi-quarter technical roadmap for short-form ranking, candidate generation, and Post-training RL.
- Design the multi-stage ranking architecture spanning retrieval, ranking, re-ranking, and RL-based policy optimization.
- Drive the use of post-training reinforcement learning techniques, including reward modeling, off-policy evaluation, and policy alignment to improve user satisfaction over long periods.
- Partner with Content Understanding, ML Platform, Core Science, and Product to align short-form personalization with broader Discovery strategy.
- Ensure ranking pipelines are high-throughput, reliable, and observable in GCP using TensorFlow/PyTorch.
- Mentor IC1–IC3 engineers, set technical standards across the pod, and grow the next generation of senior ML talent.
- Identify and resolve feedback loops, exposure biases, and filter-bubble dynamics in how short-form content is surfaced.
Requirements
What you’ll need- 8+ years of experience in MLE with a track record of setting technical direction for large-scale ranking or recommender systems
- deep expertise in Reinforcement Learning, particularly Post-training RL and long-horizon reward modeling
- proficiency in GCP, TensorFlow, and PyTorch; demonstrated ability to influence technical strategy across multiple team
Benefits
Comp & perks- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
ATS Keywords
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Hard Skills & Tools
Reinforcement LearningPost-training RLreward modelingoff-policy evaluationpolicy alignmentranking architectureranking pipelineshigh-throughput systemsre-rankingcandidate generation
Soft Skills
mentoringtechnical leadershipcollaborationinfluencing strategyproblem-solvingsetting technical standards