Senior ML Engineer – Onboarding & Re‑engagement Lead

Paramount; New York (NY); On-site; USD 156,800 - 235,200; Full time

Benefits offered by this job

Attractive compensation

Comprehensive benefits packages

Generous paid time off

Job summary

Paramount is seeking a Senior Lead Machine Learning Engineer to improve user re-engagement and onboarding. This role involves developing state-of-the-art recommendation systems and optimizing user experience. Key responsibilities include architecting retrieval systems, leading engineering teams, and implementing advanced algorithms to enhance user interactions. Located in New York, this position offers attractive compensation, comprehensive benefits, and opportunities for personal and professional growth.

Qualifications

• 6-8+ years of experience in machine learning engineering.
• Proven experience building recommendation systems under data sparsity.
• Deep knowledge of multi-stage ranking and learning-to-rank.
• Expertise in scalable hybrid retrieval architectures.

Responsibilities

• Contribute to the technical vision for re-engagement and onboarding.
• Architect models for high-stakes re-entry experiences.
• Develop advanced algorithms for new user onboarding.
• Lead the development of the 'Your Next Watch' engine.

Skills

Machine learning engineering

Ranking

Retrieval systems

Reinforcement learning

Python

Neural networks

Data infrastructure

Mentorship

A/B testing

Education

Bachelor's or Master's in Computer Science or related field

Tools

Pytorch

TensorFlow

Spark

BigQuery

Docker

Kubernetes

Job description

Paramount is seeking a Senior Lead Machine Learning Engineer to improve user re-engagement and onboarding. This role involves developing state-of-the-art recommendation systems and optimizing user experience. Key responsibilities include architecting retrieval systems, leading engineering teams, and implementing advanced algorithms to enhance user interactions. Located in New York, this position offers attractive compensation, comprehensive benefits, and opportunities for personal and professional growth.