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Machine Learning Engineer, Safety

San Francisco · On-site five days a week

PythonPyTorchKubernetesAbuse detection

THE OPPORTUNITY

A role worth
a closer look.

Own the models and production infrastructure used to detect harmful content and misuse on a generative-media platform. Improve detection coverage, response time and scale, integrate safety systems with core infrastructure, and evaluate outside tools where useful. The role sits within Trust and Safety and works with security engineers.

Experience highlighted by the employer

  • Prior hands-on work in trust and safety, moderation or abuse detection is required.
  • Strong engineering fundamentals and the ability to own both ML models and their production serving infrastructure.

Location & eligibility

San Francisco-based, working in person five days per week. The employer offers relocation assistance but does not state a visa-sponsorship guarantee in the reviewed description.

Compensation

USD $180,000–$250,000 / year. Employer-published annual range; equity and benefits are additional.

Before you apply

This is TaskBull’s concise summary, not the employer’s full job description. Review the complete responsibilities, terms, accessibility information and privacy notice on the original application page.

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