Senior Machine Learning Engineer, Short-Form

This is a Full Time Job

#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.

We are looking for a Senior Machine Learning Engineer to join the Shortform pod.

Your mission is the Personalization of Short-form experiences, specifically optimizing the ''in-view'' and ''in-carousel'' experiences. As we expand our ''Gist'' and clip ecosystem, you will lead the design of models that determine which short-form asset will most effectively convert a casual browser into a committed viewer.

This is a Senior role, meaning you are trusted to define the technical approach for complex ranking and selection features. You will work within a GCP-based environment,

utilizing TensorFlow and PyTorch, with a heavy focus on Post-training RL (Reinforcement Learning) to optimize for long-term user satisfaction and session-level rewards.

Why This Role Matters
• Capturing Attention: You own the algorithms that select the right 30-second ''hook'' to show a user, directly impacting Click-Through Rate (CTR) and discovery velocity.
• Beyond the Click: By applying Post-training RL, you ensure that our short-form content drives meaningful long-term retention, not just short-term engagement.
• System Quality: You raise the bar for the Shortform pod by anticipating data risks and building highly reliable, multi-stage ranking pipelines.

Key Responsibilities
• Lead Feature Design: Own the end-to-end design of ranking models for in-view short-form content.
• Apply RL in Production: Implement Post-training RL techniques to align model outputs with complex user satisfaction metrics.
• Optimize for Scale: Build and maintain high-throughput pipelines in GCP using TensorFlow/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 how short-form content is surfaced to avoid ''filter bubbles.''

Qualifications
• Minimum: 5–8 years of experience in MLE; proficient background in Reinforcement Learning; proficiency in GCP, TensorFlow, and PyTorch.
• Preferred: Experience in video-first social or streaming apps; background in multi-modal signal processing.

#LI-PG1

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount . Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount , digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainmentâ''¢. Paramount features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.

ADDITIONAL INFORMATION

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.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount