
Sr Machine Learning Engineer Shortform Job at Paramount in New York
Paramount, New York, NY, United States
We are looking for a Senior Machine Learning Engineer to join the Shortform pod. Your mission is to personalize short‑form experiences by designing and optimizing models that select the best content to convert casual browsers into committed viewers.
Key Responsibilities
- Lead Feature Design: Own end‑to‑end design of ranking models for in‑view short‑form content.
- Apply RL in Production: Implement post‑training reinforcement learning techniques to align model outputs with complex user satisfaction metrics.
- Optimize for Scale: Build and maintain high‑throughput pipelines on GCP using TensorFlow and PyTorch.
- Mentorship: Provide technical guidance to IC1‑IC2 engineers on the pod, ensuring high standards for code and experimentation.
- Mitigate Risk: Identify and tackle systemic biases in content surfacing to avoid filter bubbles.
Qualifications
- Minimum: 5–8+ years of experience in MLE; strong background in reinforcement learning; proficiency in GCP, TensorFlow, and PyTorch.
- Preferred: Experience in video‑first social or streaming apps; background in multimodal signal processing.
Hiring Salary Range: $139,000.00 – $180,000.00 (location dependent). This position is bonus eligible.
Benefits
- Medical, dental, vision, 401(k) plan, life insurance, disability benefits, tuition assistance, PTO.
- Generous paid time off.
- Opportunity to work on a dynamic team with both on‑site and virtual engagement events.
Paramount is an equal‑opportunity employer (EOE) including disability/vet.
We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation by calling 212.846.5500 or emailing paramountaccommodations@paramount.com.
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