Principal Machine Learning Engineer, Content Engineering

Principal Machine Learning Engineer, Content Engineering

45445 New York, NY, US, 10036 Technology New York Full-Time Fully Remote #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet – now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview: We are seeking a Senior Lead / Principal Machine Learning Engineer to lead our ShortForm & Video Intelligence pod. This team is in charge of a critical mission: the automated transformation of our massive long-form content library into "ShortForm" assets—high-impact clips, "gists," and social-ready highlights. You will lead the development of the models that "watch" our content to identify narrative hooks, emotional climaxes, and key characters to create compelling bite-sized experiences. This is a deeply technical leadership role requiring mastery of multi-modal machine learning. You will oversee the creation of intelligence layers that perform video safety analysis (nudity/profanity detection), spoiler detection, and sophisticated narrative comprehension. Your work ensures that our ShortForm content is not only engaging but also safe, contextually precise, and optimized for discovery across the Paramount ecosystem. The ShortForm pod unlocks the value of our entire catalog. In this role, you will directly shape:

• The "Gist" Ecosystem: Building the engine that generates short-form previews, allowing users to "snack" on content before committing to a full watch.
• Platform Safety & Integrity: Owning the "Video Intelligence" filters that protect our brand and users through automated detection of sensitive or restricted content.
• Narrative AI: Transitioning beyond simple metadata to a world where AI understands story arcs, character importance, and "viral" moments within a film or episode.

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.

Basic Qualifications: 6-8+ years of experience in machine learning, with a heavy focus on Computer Vision (CV) and Multi-Modal architectures. Deep Learning Expertise: Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D CNNs). Video Intelligence: Proven experience building safety/moderation models (Nudity, Profanity, Hate Speech) or content-tagging systems. Leadership: Experience leading senior technical teams and translating complex "creative" goals into engineering requirements. Video Tech Stack: 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 sync-ing 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.

Hiring Salary Range: $233,600.00 - 350,400.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.

What We Offer: Attractive compensation and comprehensive benefits packages. Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. 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.

Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. 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 if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on click.appcast.io or by sending an email to View email address on click.appcast.io. Only messages left for this purpose will be returned.