5
Senior AI Engineer
5V Video
1 hour ago
Full-time
On-site
East New York, New York, United States
About the role:
We're hiring on behalf of a major media & entertainment company scaling its AI/ML capability across its streaming platform. This is a hand-on engineering role focused on building and deploying machine learning systems that directly shape how millions of viewers discover, watch, and experience content; from recommendations and personalization to video quality and content intelligence.
What you'll be doing
Design, build and deploy ML models into production for a large-scale video/OTT platform.
Work on problems like content recommendation, personalization, video quality/encoding optimization, content understanding, or ad-tech targeting.
Partner with streaming/platform engineering teams to integrate ML systems into live, high-traffic infrastructure.
Own model performance in production: monitoring, iterating, and improving against real viewer/business metrics.
Work with large-scale, high-volume media data (viewing behavior, video/audio content, metadata).
Proven professional experience applying AI/ML specifically within media, broadcast, or video streaming (OTT). This is a hard requirement, not a nice-to-have.
Strong production ML engineering skills (Python; TensorFlow/PyTorch or equivalent).
Solid foundation in software engineering and distributed systems.
Bachelor's/Master's in CS, ML, or related field, or equivalent demonstrable experience.
Nice to have
Experience with recommendation systems, computer vision on video, or video encoding/ABR streaming.
Cloud platform experience (AWS/GCP/Azure).
Experience in ad-tech, personalization, or content moderation ML systems.
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What you'll be doing
Design, build and deploy ML models into production for a large-scale video/OTT platform.
Work on problems like content recommendation, personalization, video quality/encoding optimization, content understanding, or ad-tech targeting.
Partner with streaming/platform engineering teams to integrate ML systems into live, high-traffic infrastructure.
Own model performance in production: monitoring, iterating, and improving against real viewer/business metrics.
Work with large-scale, high-volume media data (viewing behavior, video/audio content, metadata).
Proven professional experience applying AI/ML specifically within media, broadcast, or video streaming (OTT). This is a hard requirement, not a nice-to-have.
Strong production ML engineering skills (Python; TensorFlow/PyTorch or equivalent).
Solid foundation in software engineering and distributed systems.
Bachelor's/Master's in CS, ML, or related field, or equivalent demonstrable experience.
Nice to have
Experience with recommendation systems, computer vision on video, or video encoding/ABR streaming.
Cloud platform experience (AWS/GCP/Azure).
Experience in ad-tech, personalization, or content moderation ML systems.
#J-18808-Ljbffr