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Senior ML/AI Engineer
Mrbeastyoutube
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About this role
About Us
Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.
Senior ML/AI Engineer
Primary: Bay Area (San Francisco/Peninsula) | Secondary: NYC
The Opportunity
We're building a consumer app and Brand x Creator network from the ground up, and advertising is core to how the business works. As a Senior ML/AI Engineer on advertising measurement and quality, you'll be building the ML that informs creator matching, ads/creative quality, and performance measurement. You get to build the measurement and quality layer from zero, AI-native by default, against an audience of 100M+ real people.
This is a hands-on IC role. You'll build the models, ship the measurement, and own the evals and experiments that tell us the truth about what's working.
The Product
You'll build the ML behind sponsorships and advertising across our global creator platform and consumer applications focused on the Beast audience, a footprint that reaches 100M+ users.
What You'll Do
• Build and ship ML for ad and content quality and relevance: ranking, matching, and the quality and brand-safety models that decide what's good enough to run.
• Own measurement end to end: attribution, incrementality, and the experimentation systems (A/B and geo tests, holdouts, causal methods) that prove whether advertising actually moved the needle.
• Build the data and eval foundations that keep measurement honest, so a number we report to a partner is a number we trust.
• Make pragmatic calls across classical ML, modern LLM tooling, and causal inference. Use the right tool, keep the stack lean, keep the feedback loops tight.
• Operate AI-native: burning through tokens, using coding agents daily, and shipping faster than a traditional ML workflow would allow.
Who You Are
• Consumer-Scale Shipper : You've shipped ML in production for products or advertising systems used by millions. You've been on-call for a model, not just trained one.
• Measurement-Minded : You know the difference between a correlation and a causal lift, and you've built measurement or experimentation systems that held up to scrutiny. Attribution, incrementality, and experiment design are second nature.
• AI-Native : You aren't just curious about AI. You're burning through tokens, using coding agents daily, and building modern AI tooling into how you work.
• Scrappy & Scaled : You've got the startup chops to build from zero with a small team, plus the big-tech exposure to know what breaks when something hits real scale.
• Action-Oriented : You'd rather ship a prototype and show it than sit through a design review. Ambiguity doesn't slow you down.
What Success Looks Like
In this role, success means building ML and AI systems that are not only technically strong, but also reliable, scalable, and valuable in production. Over time, you will help improve the speed, quality, and maturity of how we develop and operate intelligent systems, while enabling new product capabilities powered by machine learning and modern AI.
What Success Looks Like
You’ll have the opportunity to work on meaningful ML and AI problems, collaborate with strong cross-functional partners and help shape the next generation of intelligent products and workflows at scale. This is a great role for someone who wants to combine hands-on engineering with real-world AI impact.
The target total compensation ranges from $170,000 to 223,000 , an employee equity plan grant, bonus, plus comprehensive benefits. Benefits
The Perks, Why Work On the MrBeast Team
We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen.
• Competitive Salary
• Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance
• Company contributions to employee Health Savings Accounts (HSA)
• 401k Plan with Safe Harbor company-matching
• Flexible vacation policy and paid company holidays
• Company-provided technology package
• Relocation assistance where applicable, including travel and company-provided housing for the first 90 days
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