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About the Role

Lead an AI-first engineering rebuild for a company with 100M+ audience, defining foundational models and data systems without legacy constraints. Transform ambiguous business problems into production-ready models. Serve as the senior technical anchor for a data science domain, owning the full model lifecycle across consumer products, media, and fintech analytics.

Responsibilities

• Frame vague business problems as tractable data science problems, and pick the approach and evaluation criteria when there's little precedent.
• Design, build, and deploy models and the data pipelines that feed and serve them in production.
• Build the monitoring and retraining framework that catches drift before it hits the business.
• Own the full model lifecycle: data sourcing and quality, features, training, evaluation, deployment, monitoring, and retraining.
• Set and enforce the domain's standards for validation, reproducibility, experimentation, and monitoring.
• Partner with engineering to productionize models reliably, with the right latency, scale, and observability.
• Translate model behavior and its limits for product and business stakeholders, including where data science can't help.
• Anticipate the failure modes (leakage, drift, bias, fragility) and build safeguards before they reach production.
• Guide the technical work of other data scientists and engineers through design review, pairing, and mentorship.
• Evaluate and adopt new methods and tooling, weighing innovation against maintainability and cost.

Requirements

• Proficiency in AI tools and workflows for rapid model development and deployment.
• 8+ years designing, building, and deploying ML models in production, with deep expertise in statistical modeling and method selection.
• Proven ability to own problems end-to-end with limited supervision and accountability for results.
• Ability to frame problems as testable hypotheses, maintain validation rigor, and communicate uncertainty honestly.
• Strong software engineering practices including production-quality code, version control, testing, and reproducible pipelines.

Skills

• AI tools and workflows
• ML model design
• ML model building
• ML model deployment
• Statistical modeling
• Method selection under uncertainty
• Software engineering practice
• Production-quality code
• Version control
• Testing
• Reproducible pipelines
• Setting technical direction for a data science domain
• MLOps tooling for deployment and monitoring
• Consumer products domain exposure
• Media domain exposure
• Fintech domain exposure

Location

• Bay Area (San Francisco / Peninsula)
• NYC

Work Type

• Hybrid
• Full-time

Experience Level

• 8+ years of experience

Salary/Compensations

• Competitive Salary
• Highly competitive equity package

Benefits

• Generous Medical (Blue Cross Blue Shield)
• Dental
• Vision
• Company-paid Life Insurance
• Company contributions to employee Health Savings Accounts (HSA)
• 401k Plan with Safe Harbor company-matching
• Flexible vacation policy
• Paid company holidays
• Company-provided technology package
• Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

About the Company

• Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson (MrBeast). It revolutionizes digital content creation, operating across digital media, philanthropy, consumer products, and innovative business initiatives. The company's mission is to entertain, inspire, and create significant social impact, driven by a commitment to innovation, creativity, and philanthropy.