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Post Production Engineer Jobs (NOW HIRING)

... post-production role. Role Responsibilities: * Log and organize all football assets and gameday ... Collaborate with the Video Producer, Media Asset Manager, and Production Engineer to maintain a ...

Junior Post-Production Expert - Lightworks Job Type: Contractor Location: Remote In this position, you will utilize your expertise to contribute to the training of next-generation AI systems. Your ...

Senior Production Engineer

$107K - $146K/yr

About the Role As a Production Engineer , you will play a key role in supporting reliable, scalable ... Own and drive post-mortem review process and actions arising from incident analysis. Team ...

... and engineering. With over 50 years of industry experience, Fathom is at the forefront of the ... Finish parts by priming, laminating, gluing, sanding, trimming, glazing, and other post- production ...

The Production Engineer will take complete ownership of the infrastructure for deploying and ... and post-mortem procedures. • Proactively build robust self-service tools, systems, and ...

The role of Production Engineer involves taking complete ownership of infrastructure for high-scale ... and post-mortem procedures. • Proactively build robust self-service tools, systems, and ...

The Post-ProductionSupervisorreports directly tothe Technical Manager in overseeing the day-to-day ... SuperviseAudio Engineers, Mixers, and technical operators to ensure they meet production deadlines ...

Post Producer, Localization

Chicago, IL · On-site

$127K - $129K/yr

What We Do We design, implement and optimize breakthrough content production models, delivering ... Who We Are Born from the leading creative and media agencies and engineered for a data-driven world ...

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Post Production Engineer information

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$50.5K

$131.7K

$144K

How much do post production engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for post production engineer in the United States is $131,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Post Production Engineer vs Video Editor?

AspectPost Production EngineerVideo Editor
CredentialsBachelor's degree in film, media, or related field; technical certificationsTypically a degree or diploma in film, media, or related area; strong editing skills
Work EnvironmentStudio, post-production facilities, or on-location setups involving technical equipmentEditing suites, workstations, or on-location editing setups
Industry UsageUsed in broadcasting, film, and media production companies with technical rolesCommonly used in media houses, freelance work, and content creation

While both roles are involved in post-production, a Post Production Engineer focuses on the technical aspects of editing, color correction, and equipment setup, ensuring smooth workflow and technical quality. A Video Editor primarily handles the creative editing process, assembling footage to tell a story. Understanding these differences helps clarify career paths and job expectations in media production.

What are the key skills and qualifications needed to thrive as a Post Production Engineer, and why are they important?

To thrive as a Post Production Engineer, you need a solid background in audio and video editing, signal flow, and broadcast standards, often supported by a degree in audio engineering or a related field. Proficiency with industry-standard software such as Avid Pro Tools, Adobe Premiere, DaVinci Resolve, and familiarity with hardware like mixing consoles and storage systems is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with creative teams and troubleshoot technical issues. These skills ensure the delivery of high-quality content and seamless post-production workflows in demanding media environments.

How does a Post Production Engineer typically collaborate with editors and other creative team members during a project?

A Post Production Engineer works closely with editors, colorists, sound designers, and visual effects artists to ensure smooth technical workflows throughout the post-production process. They are responsible for setting up and maintaining editing suites, troubleshooting software or hardware issues, and ensuring all files are correctly formatted and compatible. Collaboration often involves frequent communication to address technical challenges, optimize workflow efficiency, and support the creative vision of the team. Being proactive and adaptable is key, as priorities can shift quickly in response to production needs.

What are Post Production Engineers?

Post Production Engineers are technical professionals who manage and maintain the equipment and software used in the editing, mixing, and finishing stages of film, television, and other media projects. They ensure that audio and video workflows run smoothly, troubleshoot technical issues, and support creative teams with the delivery of high-quality final products. Their responsibilities include configuring editing suites, maintaining storage networks, and ensuring that all post-production tools function optimally.
More about Post Production Engineer jobs
What cities are hiring for Post Production Engineer jobs? Cities with the most Post Production Engineer job openings:
What are the most commonly searched types of Post Production Engineer jobs? The most popular types of Post Production Engineer jobs are:
What states have the most Post Production Engineer jobs? States with the most job openings for Post Production Engineer jobs include:
What job categories do people searching Post Production Engineer jobs look for? The top searched job categories for Post Production Engineer jobs are:
Infographic showing various Post Production Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $131,667 per year, or $63.3 per hour.
Research Engineer, Production Model Post-Training

Research Engineer, Production Model Post-Training

Anthropic

San Francisco, CA

Other

Posted 13 days ago


Job description

About the role

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends.

Responsibilities:
  • Implement and optimize post-training techniques at scale on frontier models
  • Conduct research to develop and optimize post-training recipes that directly improve production model quality
  • Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
  • Develop tools to measure and improve model performance across various dimensions
  • Collaborate with research teams to translate emerging techniques into production-ready implementations
  • Debug complex issues in training pipelines and model behavior
  • Help establish best practices for reliable, reproducible model post-training
You may be a good fit if you:
  • Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
  • Adapt quickly to changing priorities
  • Maintain clarity when debugging complex, time-sensitive issues
  • Have strong software engineering skills with experience building complex ML systems
  • Are comfortable working with large-scale distributed systems and high-performance computing
  • Have experience with training, fine-tuning, or evaluating large language models
  • Can balance research exploration with engineering rigor and operational reliability
  • Are adept at analyzing and debugging model training processes
  • Enjoy collaborating across research and engineering disciplines
  • Can navigate ambiguity and make progress in fast-moving research environments
Strong candidates may also:
  • Have experience with LLMs
  • Have a keen interest in AI safety and responsible deployment

We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role.