Machine Learning Engineer, Entry

As a member of the Applied Machine Learning Group, you'll help build a world-class streaming experience within the team. Your mission is to get the user watching. You own the "onboarding" and "re-entry" experience, including high-commitment surfaces like Your Next Watch (YNW), Jump Back In (JBI), and While You Were Away (WYWA).

You'll put customers first by using MLFlow for experiment tracking, Qdrant for retrieval, and Post-training RL to ensure that the content we surface at the start of a session is what the user is most likely to commit to. You will be in charge of implementing the components that solve the "Cold Start" problem for new users and provide seamless re-entry for returning ones.

You'll work in an IC2 (Mid-level) role to ensure these surfaces, which optimize for Start Rate under uncertainty, identify if a user stays or leaves within the first 30 seconds of app launch.

Independent Delivery: Own the implementation of features for JBI (Jump Back In) and YNW (Your Next Watch).

Retrieval Optimization: Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends.

Experiment Lifecycle: Use MLFlow to manage, track, and deploy experiments, ensuring a high bar for reproducibility.

Model Training: Develop and serve models in GCP using TensorFlow/PyTorch, incorporating Post-training RL for reward-based optimization.

Collaborative Quality: Participate in design reviews to ensure your components share the same high-reliability standards as the rest of the pod.

Solving Cold Start: Build the logic that makes the app feel personalized even for users we know very little about.

High-Commitment Accuracy: Optimize for the "Play" button-the ultimate signal of user commitment.

Proven ability to implement features that solve the "Cold Start" problem for new users.

Experience managing, tracking, and deploying experiments to ensure a high bar for reproducibility.

Experience with retrieval optimization and re-entry carousels.

Knowledge with Post-training RL for reward-based optimization.

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 Entertainment. 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.

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.