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How much do hbo production assistant jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for hbo production assistant in the United States is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What does an HBO production assistant do?

A typical day for an HBO Production Assistant involves a variety of tasks such as coordinating schedules, setting up equipment, assisting with logistics, and supporting both cast and crew on set. You might be managing call sheets, helping with location prep, or running errands to ensure the production stays on track. Production Assistants often work closely with different departments, offering a great opportunity to learn about multiple aspects of the entertainment industry. The fast-paced environment requires adaptability and strong time-management skills, and those who excel often find opportunities for growth into more senior production roles.

What are the key skills and qualifications needed to thrive as an HBO production assistant?

To thrive as an HBO Production Assistant, you need strong organizational skills, attention to detail, and the ability to manage multiple tasks simultaneously, often supported by a degree in film, communications, or related fields. Familiarity with industry-standard equipment, production management software, and basic editing tools is highly beneficial. Exceptional communication, a proactive attitude, and the ability to work well under pressure help you stand out in this fast-paced environment. These skills and qualities are crucial for maintaining smooth workflow, supporting creative teams, and ensuring productions run efficiently.

What is an HBO production assistant?

An HBO Production Assistant (PA) is an entry-level position responsible for supporting the production team on set and in the office. Duties may include setting up equipment, coordinating schedules, assisting with paperwork, and running errands to ensure smooth production operations. PAs work closely with directors, producers, and crew members, gaining valuable industry experience. This role requires strong organizational skills, adaptability, and a willingness to handle various tasks efficiently. It can be a stepping stone to higher-level production roles in the entertainment industry.

What cities are hiring for Hbo Production Assistant jobs?

Cities with the most Hbo Production Assistant job openings:

What states have the most Hbo Production Assistant jobs?

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Infographic showing various Hbo Production Assistant job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,233 per year, or $18.9 per hour.

Sr. Software Engineer, Machine Learning, tvScientific

Pinterest

San Francisco, CA โ€ข On-site, Remote

$144K - $190K/yr

Full-time

Re-posted 20 days ago


Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.


What you'll do:

  • Write production Python that powers real-time bidding, model training, and campaign optimization
  • Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  • Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  • Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  • Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  • Serve as a technical lead and mentor on a distributed engineering team


What we're looking for:

  • Strong production Python skills: you write code that runs in prod, not just notebooks
  • Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  • Familiarity with modern AI tools and good judgment about where they add value
  • Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  • Clear written communication: we're a distributed team and writing is how decisions get made
  • Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  • Bachelor's degree in Computer Science, Mathematics, Engineering, related field, or equivalent experience
  • 4+ years of industry experience
  • Nice-to-Haves:
    • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
    • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
    • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    • Big data experience with Scala and Spark
    • Systems programming experience in Zig or similar (C, C++, Rust)
    • Reinforcement learning or bandit algorithms in production
    • Experience building agentic AI systems or LLM-powered workflows
    • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit ourย PinFlexย page to learn more about our working model.

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