Principal Machine Learning Engineer, Content Engineering

Overview

We are seeking a Senior Lead / Principal Machine Learning Engineer to lead our ShortForm & Video Intelligence pod. This team is responsible for transforming our massive long-form content library into engaging, safe, and contextually precise short-form assets.

Responsibilities

• Lead the ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers.
• Architect Multi-Modal Models: Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and text (transcripts/scripts) to understand content context.
• Own Video Intelligence: Develop and scale robust computer vision and audio classifiers for nudity, profanity, and sensitive content detection.
• Advance Narrative Understanding: Build models that can identify "hooks," "climax points," and "narrative summaries" to automate the creation of trailers and highlights.
• Spoiler & Context Detection: Create intelligence layers that identify plot-critical "spoilers" to ensure ShortForm assets don't ruin the viewing experience for new users.
• Scalable Content Pipelines: Partner with Content Engineering to integrate these models into petabyte-scale video processing workflows.

Qualifications

• Basic Qualifications:
• 6-8+ years of experience in machine learning, with a heavy focus on Computer Vision (CV) and Multi-Modal architectures.
• Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D CNNs).
• Proven experience building safety/moderation models (Nudity, Profanity, Hate Speech) or content-tagging systems.
• Experience leading senior technical teams and translating complex "creative" goals into engineering requirements.
• Knowledge of video processing frameworks (FFmpeg) and handling various codecs/resolutions at scale.
• Additional Qualifications:
• Experience with Generative AI for Video (automated editing or style transfer).
• Background in NLP/Speech for syncing transcripts with video frames.
• Knowledge of Narrative Theory or experience in the media/entertainment industry.
• Experience deploying large-scale models in Cloud Environments (AWS/GCP/Azure) with high GPU utilization efficiency.

Benefits

• Hiring Salary Range: $233,600.00 - 350,400.00.
• Generous paid time off.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.