ViacomCBS
Principal Machine Learning Engineer, Session and In-Player Experience
New York, New York, USA · Principal · full-time
Sponsorship not specified$234k-$250kDetected 50 days ago
ReactAlgorithmsDatabricksMachine LearningTensorFlowPyTorchSparkA/B TestingLeadershipMentoring
About the role
- This is a highly visible technical leadership role where you will define the strategy for real-time, post-playback discovery.
- Why This Role Matters: The "Session" pod is the engine behind long-term retention and viewer satisfaction.
- In-Player Discovery: Designing seamless in-player browse experiences that allow users to explore content without interrupting their current stream.
Responsibilities
- Lead Multi-Stage Personalization: Design and deploy retrieval and deep ranking systems specifcally optimized for in-player surfaces and "Watch-Next" carousels.
- Own the Session Lifecycle: Develop end-to-end ML pipelines that utilize session-based modeling and real-time user behavior to predict the next best piece of content.
- Optimize for Performance: Architect systems that meet strict latency requirements necessary for in-player experiences where delays directly impact the viewing experience.
- Cross-Functional Strategy: Partner with Product, Design, and Content teams to define success metrics specific to session length, "binge" rates, and playback transitions.
- Technical Mentorship: Act as a player-coach, developing technical talent within the pod and shaping the culture of the broader AMLG.
- Design and deploy retrieval and deep ranking systems specifcally optimized for in-player surfaces and "Watch-Next" carousels.
- Develop end-to-end ML pipelines that utilize session-based modeling and real-time user behavior to predict the next best piece of content.
- Partner with Product, Design, and Content teams to define success metrics specific to session length, "binge" rates, and playback transitions.
- Deliver measurable increases in session duration and "Keep Watching" click-through rates via improved ranking models.
- Successfully partner with Content Engineering to integrate advanced embedding pipelines into the session-based retrieval layer. #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+.
Requirements
- Real-Time Expertise: Demonstrated success deploying ML systems in high-traffic, low-latency production environments.
- Technical Fluency: Proficiency with modern ML frameworks (PyTorch, TensorFlow) and big-data ecosystems (Spark, Beam, Databricks).
- Proficiency with modern ML frameworks (PyTorch, TensorFlow) and big-data ecosystems (Spark, Beam, Databricks).
Nice to have
- Experience with in-player or post-playback recommendation domains.
- Background in multi-modal signals (e.g., using video/audio features for "Watch-Next" similarity).
- Knowledge with Vector Search integration and embedding pipeline optimization.
- Experience bridging the gap between Core Science teams and production-facing Product teams.
- 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.
Compensation
- $234,000.00 - 250,000.00.
- 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.
- What We Offer: Attractive compensation and comprehensive benefits packages.
Benefits
- Attractive compensation and comprehensive benefits packages.
- Check out our full list of benefits here:;/li> Generous paid time off.
Company info
- #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 thepowerto achieve our mission to entertain the planet - now all we're missing is...
- 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 looking for a Principal Machine Learning Engineer to lead our "Session" pod - the team in charge of the critical mission of "Keeping the Session Going." While other teams focus on the initial click, your team owns the viewer's journey after playback starts.
- You will lead a high-impact pod of Senior ML engineers and Applied Scientists to architect the systems powering in-player browse, "Watch-Next" recommendations, and end-cards across Paramount+ and Pluto TV.
- Because these decisions happen while a user is already engaged in content, you will navigate unique challenges in ultra-low latency inference, session-based behavior modeling, and distinct UX constraints that differ significantly from standard home-page ranking.
- An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams.
Equal opportunity
- Paramount is proud to be an equal opportunity workplace.
- equal opportunity employer (EOE) including disability/vet.
- equal opportunity workplace.
- 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.
Visa & Work Authorization
- rtunity 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 stat
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This listing is sourced directly from ViacomCBS's careers page and normalized into a canonical job model.