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Full Time Chaos Machine Productions Jobs (NOW HIRING)

CHAOS Industries

Field Software Engineer

El Segundo, CA · On-site

$140K - $240K/yr

... products that bridge the gap between CHAOS capabilities and customer mission needs. * Integrate data from CHAOS edge sensors into customer systems. * Apply and develop machine learning and AI ...

CHAOS Industries

Field Software Engineer

El Segundo, CA

$140K - $240K/yr

... products that bridge the gap between CHAOS capabilities and customer mission needs. * Integrate data from CHAOS edge sensors into customer systems. * Apply and develop machine learning and AI ...

CHAOS Industries

Field Software Engineer

El Segundo, CA

$140K - $240K/yr

... products that bridge the gap between CHAOS capabilities and customer mission needs. * Integrate data from CHAOS edge sensors into customer systems. * Apply and develop machine learning and AI ...

CHAOS Industries

Data Scientist

San Francisco, CA · On-site

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ... Minimum Requirements * BS/MS in Computer Science, Engineering, Machine Learning, Applied ...

CHAOS Industries

Data Scientist

San Francisco, CA

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ... Minimum Requirements * BS/MS in Computer Science, Engineering, Machine Learning, Applied ...

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How much do full time chaos machine productions jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for full time chaos machine productions in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is a full time Chaos Machine Productions employee?

A Full Time Chaos Machine Productions employee works as part of the team at Chaos Machine Productions, a company known for producing films, television, or multimedia content. Full-time employees typically engage in various roles such as production, editing, directing, or administrative support, depending on the company's projects and needs. Being full-time means they work a standard schedule, usually 35-40 hours per week, and may receive benefits like health insurance and paid time off. Employees at Chaos Machine Productions contribute to the creative process and help bring the company's projects to fruition.

What are the typical responsibilities and team dynamics for a full time role at Chaos Machine Productions?

In a full-time position at Chaos Machine Productions, you can expect a dynamic, collaborative environment where creativity and adaptability are highly valued. Team members often work closely together across various departments—such as production, post-production, and creative development—to bring projects from concept to completion. Daily responsibilities may include attending team meetings, coordinating schedules, brainstorming ideas, and ensuring projects stay on track. Due to the fast-paced nature of the film and media industry, being able to handle tight deadlines and shifting priorities is essential. This collaborative setting provides ample opportunities to learn from experienced professionals and take on greater responsibilities as you grow.

What are the key skills and qualifications needed to thrive as a film production assistant at a company like Chaos Machine Productions, and why are they important?

To thrive as a Film Production Assistant, you need strong organizational skills, attention to detail, and a basic understanding of film production processes, often supported by a relevant degree or experience. Familiarity with production scheduling software, call sheet management, and equipment handling is valuable. Excellent communication, adaptability, and a proactive attitude help you stand out in fast-paced, collaborative environments. These skills ensure that productions run smoothly, deadlines are met, and the production team can rely on your support to solve problems as they arise.

What is the difference between Full Time Chaos Machine Productions vs Freelance Video Editor?

AspectFull Time Chaos Machine ProductionsFreelance Video Editor
CredentialsTypically requires a degree in film, media, or related fieldMay have similar credentials but often relies on portfolio and experience
Work EnvironmentIn-house or studio setting with a teamRemote or on-site, working independently
Employer & Industry UsageEmployed by production companies or media agenciesHired by clients on a project basis across various industries
Work ScheduleFull-time, fixed hoursFlexible, project-based hours

Full Time Chaos Machine Productions typically offers a stable, full-time position within a production environment, requiring specific credentials and a team setting. Freelance Video Editors work independently, often remotely, with flexible schedules and varied clients. Both roles involve video editing skills but differ mainly in employment structure and work environment.

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Full Time Chaos Machine Productions jobs near you
Infographic showing various Full Time Chaos Machine Productions job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.

Applied AI Engineer

CHAOS Industries

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.
Role Overview
CHAOS is seeking a highly motivated, mission-oriented Applied AI Engineer to help develop, integrate, and deploy AI/ML-powered capabilities across our product lines.
In this role, you will work closely with other data scientists, software engineers, product teams, and mission stakeholders to conduct advanced AI research and turn them into reliable, real-world software. The work will focus especially on defense applications where the systems must perform with extreme accuracy under constrained, adversarial, and operationally complex conditions.
We are looking for someone with strong data science and software engineering fundamentals, a record of technical excellence, and demonstrated experience applying AI/ML techniques to real products. Experience in aerospace, defense, critical infrastructure, robotics, RF systems, or other highly regulated or mission-driven environments is a strong plus.
You should be comfortable operating with independence, learning unfamiliar technical domains quickly, working across disparate teams, and moving prototypes toward production with limited oversight.
Responsibilities
  • Build applied AI systems across CHAOS product lines, including model integration, inference services, evaluation pipelines, and production-facing AI capabilities
  • Perform research and build products by working with product and mission teams to research, collect data, verify hypothesis and create robust, testable, maintainable, and deployable models
  • Evaluate and improve model performance under real-world conditions, including adversarial GPS denied environments, low-power or edge deployments, and degraded or noisy inputs
  • Develop production-quality software for data pipelines for acquisition, model serving, monitoring, lifecycle management, data processing, and system integration.
  • Create rapid prototypes with mission and product teams, other relevant stakeholders and iterate toward production-ready implementations.
  • Contribute to AI system reliability, by conducting testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
  • Learn quickly from existing codebases, documentation, research artifacts, and domain experts, then use that knowledge to drive execution.
  • Manage time effectively across meetings, technical discovery, implementation, experimentation, and production support.

Travel and Location
  • Travel: 10-20%, mostly domestic.
  • Location: Must work on-site at least 2 days per week from our San Francisco office; 2-4 days per week preferred.

Minimum Requirements
  • BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field.
  • 2+ years of professional software development experience.
  • Strong Python programming skills.
  • Experience building, testing, deploying, and supporting production software systems.
  • Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management.
  • Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability.
  • Familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment environments/GPU optimization
  • Excited to learn unfamiliar technical domains

Preferred Qualifications
  • Experience with analog or digital RF signal processing
  • Experience with digital picture or video processing
  • Experience productizing machine learning models, LLM applications, computer vision systems, signal-processing systems, or autonomous/robotic systems.
  • Experience building AI agents or agentic workflows
  • Experience with drone, robotics, sensor fusion, tracking, or moving-target detection systems.
  • Contributions to open-source projects or technically significant public work.
  • Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments is a strong plus
  • Familiarity with edge deployment, low-latency inference, hardware-constrained systems, or degraded-connectivity environments.

Why CHAOS?
  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 250 employees and counting across 5 global offices

$150k-170k
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
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