Member of Technical Staff, Trust & Safety Engineer

About the role

We're looking for a Trust & Safety Engineer to help ensure Runway's generative AI models have a positive impact as they reach millions of users. You'll be embedded across product, research, and policy teams—serving as a core safety partner from early design through post-launch monitoring.

Responsibilities

• Serve as a core safety partner embedded across product and research teams, providing Trust & Safety engineering support for all launches—from early design review through post-launch monitoring
• Build and maintain safety infrastructure that ensures Runway's models have a positive impact on the world as they reach millions of users
• Design, execute, and continuously improve red teaming systems to proactively surface model safety issues, such as harmful content generation, filter bypasses, and policy-violating outputs, before they reach production
• Translate ambiguous, fast-evolving T&S challenges into concrete technical solutions, often without an existing playbook; comfort with navigating uncertainty and proposing novel approaches is essential
• Improve the performance, reliability, and code quality of our codebases

Requirements

• 3+ years of experience in software engineering, with production experience in Python or TypeScript
• A proactive, ownership-oriented mindset—owning systems end-to-end (infrastructure, monitoring, logging, metrics, incident response) and being responsible for identifying risks, not just responding to tickets
• Comfort working across the stack—from writing model evaluation scripts to building internal tooling to debugging infrastructure issues in AWS or GCP
• Experience with data pipelines or analytics infrastructure (we use ClickHouse heavily for abuse detection and policy enforcement signals)
• Ability to translate ambiguous, fast-evolving policy requirements into concrete technical solutions—often defining the approach, not following an existing playbook

Qualifications

• Strong written communication skills—working closely with legal, policy, and product teams to document safety decisions and explain technical tradeoffs
• Humility and open-mindedness—we love to learn from one another at Runway

Skills

• Strong problem-solving and analytical skills
• Experience with AWS, GCP, and other cloud platforms
• Knowledge of ethical considerations in AI development

Benefits

At Runway, we strive to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage, and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level, and qualifications assessed during the interview process. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Pay

Salary ranges are based on competitive market rates for our size, stage, and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level, and qualifications assessed during the interview process. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Schedule

Remote across the US + Europe—also have offices in NYC, San Francisco, and Seattle