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Playback Rewards Jobs (NOW HIRING)

xAI

Member of Technical Staff - Media

Palo Alto, CA

$180K - $440K/yr

... video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to ... rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental ...

xAI

Member of Technical Staff - Media

Palo Alto, CA · On-site

$180K - $440K/yr

... video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to ... rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental ...

xAI

Member of Technical Staff - Media

Seattle, WA

$180K - $440K/yr

... video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to ... rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental ...

xAI

Member of Technical Staff - Media

Palo Alto, CA · On-site

$180K - $440K/yr

... video playback, live streaming, Spaces, audio/video calls, and more. This is your chance to ... rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental ...

Wmeimg

Venue Manager

Beverly Hills, CA

$150K/yr

... playback, and presentation slides. * Ensure proper maintenance of all projection and audio ... The company strives to provide locally competitive rewards packages, which include base rate along ...

New

WME Group

Venue Manager

Beverly Hills, CA

$150K/yr

... playback, and presentation slides. * Ensure proper maintenance of all projection and audio ... The company strives to provide locally competitive rewards packages, which include base rate along ...

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How much do playback rewards jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for playback rewards in the United States is $20.37, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Playback Rewards Program Manager, and why are they important?

To thrive as a Playback Rewards Program Manager, you need expertise in loyalty program management, data analysis, and customer engagement strategies, often supported by a degree in marketing, business, or a related field. Familiarity with CRM platforms, rewards management systems, and analytics tools such as Salesforce or Tableau is typically required. Strong communication, problem-solving, and project management skills set standout professionals apart in this role. These skills ensure the effective design and execution of rewards programs that drive user retention and business growth.

What are some common challenges faced by professionals working in a playback rewards program, and how can they overcome them?

Professionals working in playback rewards programs often encounter challenges such as keeping users engaged with evolving reward structures, ensuring accurate tracking of playback data, and balancing attractive incentives with company budgets. Overcoming these requires strong analytical skills, adaptability to shifting user trends, and close collaboration with data and marketing teams to refine program offerings. Regularly reviewing user feedback and industry benchmarks can help optimize the program and maintain user interest.

What are Playback Rewards?

Playback Rewards are incentive programs offered by streaming platforms or digital services to reward users for engaging with content, such as watching videos, listening to music, or participating in platform activities. These rewards can include points, discounts, badges, or exclusive features that encourage continued use and loyalty. The specific rewards and how users earn them vary by platform, but generally, the more you engage, the more rewards you can accumulate. Playback Rewards are designed to enhance user experience and foster a sense of community among users.

What is the difference between Playback Rewards vs Video Editor?

AspectPlayback RewardsVideo Editor
Required CredentialsNone specific, but familiarity with media platforms helpsTypically requires a degree or certification in film, media, or related fields
Work EnvironmentPrimarily remote or on-location for media companies, streaming platformsOffice or studio settings, post-production facilities
Industry UsageUsed in media, entertainment, and streaming services for rewarding content creatorsCommonly employed in film, TV, advertising, and online content creation

Playback Rewards and Video Editors serve different roles in the media industry. Playback Rewards focus on incentivizing content creators through rewards, often with minimal formal credentials. Video Editors, however, require technical skills and certifications to edit and produce video content. While both work within media environments, their functions and qualifications differ significantly.

More about Playback Rewards jobs
What cities are hiring for Playback Rewards jobs? Cities with the most Playback Rewards job openings:
What states have the most Playback Rewards jobs? States with the most job openings for Playback Rewards jobs include:
What job categories do people searching Playback Rewards jobs look for? The top searched job categories for Playback Rewards jobs are:
Playback Rewards jobs near you
Infographic showing various Playback Rewards job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,378 per year, or $20.4 per hour.
Principal Machine Learning Engineer, Session and In-Player Experience

Principal Machine Learning Engineer, Session and In-Player Experience

Paramount

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Paramount Senior Living rating

5.3

Company rating: 5.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

#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 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.
 
This is a highly visible technical leadership role where you will define the strategy for real-time, post-playback discovery. 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.
 

Why This Role Matters:
The "Session" pod is the engine behind long-term retention and viewer satisfaction. In this role, you will directly shape:
  • The Post-Playback Journey: Owning the "Watch-Next" and end-card algorithms that identify if a user stays for another hour or leaves the platform.
  • In-Player Discovery: Designing seamless in-player browse experiences that allow users to explore content without interrupting their current stream.
  • Real-Time Intelligence: Building the models that react to session-level signals in milliseconds to provide truly dynamic personalization.
 
Key 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.
  • Scientific Rigor: Establish high-integrity experimentation practices and improve offlineonline correlation for session-based rewards and contextual bandits.
  • Technical Mentorship: Act as a player-coach, developing technical talent within the pod and shaping the culture of the broader AMLG.
 
Basic Qualifications:
  • 8+ years of experience in machine learning engineering, recommender systems, or large-scale ranking.
  • Real-Time Expertise: Demonstrated success deploying ML systems in high-traffic, low-latency production environments.
  • Advanced Modeling: Deep knowledge of session modeling, representation learning, and contextual bandits.
  • Leadership: Experience leading and mentoring senior technical teams with the ability to drive strategy while remaining hands-on.
  • Technical Fluency: Proficiency with modern ML frameworks (PyTorch, TensorFlow) and big-data ecosystems (Spark, Beam, Databricks).
 
Additional Qualifications:
  • 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.
 
What Success Looks Like In Your First 6-12 Months:
  • Define the Roadmap: Establish a clear technical vision for the "Session" pod, prioritizing improvements to "Watch-Next" and end-card accuracy.
  • Ship Production Gains: Deliver measurable increases in session duration and "Keep Watching" click-through rates via improved ranking models.
  • Optimize Latency: Successfully reduce inference latency for in-player recommendations, enabling more complex model architectures to run in real-time.
  • Unify the Experience: 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+. 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.

ADDITIONAL INFORMATION

Hiring Salary Range: $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.  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. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  • 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

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 https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.

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