Hiring: Senior Machine Learning Engineer Company: MrBeast Location: San Francisco, CA Job Posted Time: 2026-09-13 11:48:48 Employment Type: Hybrid Target Skills & Keywords : MLOps, Machine Learning, Python About the job Experience: •8+ years in software or ML engineering, with strong experience deploying and operating ML systems in production and solid Python and software engineering practice. Required Skills: •We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints, so you get to stand up ML systems the right way from day one. You're here to ship machine learning that creates real, measurable value for a massive consumer audience. •Build scalable ML systems and services that move real business metrics for an audience of 100M+ people. •Own the full lifecycle: pipelines for data processing, feature engineering, training, validation, deployment, and monitoring. •Set the bar for AI-first engineering, including how we test new model capabilities and bring them into production. •Design and implement scalable ML systems and services for production. •Develop, evaluate, and optimize models against real business problems. •Build and maintain ML pipelines across data processing, features, training, validation, and deployment. •Establish monitoring, observability, and model-performance tracking. Qualifications: •You live and breathe this: you're already burning through tokens daily, and shipping ML is the job itself. •Typically 8+ years in software or ML engineering, with strong experience deploying and operating ML systems in production and solid Python and software engineering practice. •You've designed scalable distributed systems and data-intensive applications, and you know why a model that looks great offline can fail in production. •You decide with experimentation and measurable results, and you own outcomes from design through production operation. •Bonus points for MLOps platforms and automated model lifecycle management, cloud-native ML architectures and distributed training, responsible AI and model governance, and leading technical initiatives across multiple teams. Compensation: •$270,000 - $338,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!