Senior ML/AI Engineer

MrBeastSan Francisco, CA
Hybrid

About The Position

We are building a first-of-its-kind consumer membership ecosystem from the ground up — and AI is the substrate, not a feature bolted on at the end. As a Senior ML/AI Engineer, you will be one of the first engineers on the ground helping build the AI operational backbone and shipping the AI-native features that 100M+ users will actually touch. There is no legacy stack, no retrofitted pipelines, no model zoo to clean up — just a zero-to-one build where AI-native is the default assumption. This is a hands-on IC role. You'll write the infra, ship the features, and build the evals that keep everything honest — working alongside product squads moving fast. You will build AI inside a membership app anchored around the MrBeast audience — a product that will reach 100M+ users.

Requirements

  • Shipped ML or AI systems in production for products used by millions.
  • Been on-call for a model, not just trained one.
  • Burning through tokens, using coding agents daily, and integrating modern AI tooling deeply into your workflow.
  • Built or heavily contributed to eval systems that actually caught real regressions.
  • Startup experience to build from zero with a nimble team, plus big-tech exposure to know what breaks when a product hits consumer scale.
  • Thrive in ambiguity and prefer shipping over process. You'd rather spin up a prototype and show it than run a design review.

Responsibilities

  • Ship AI-native features end-to-end — recommendation, personalization, ranking, moderation, agents — working directly inside product squads.
  • Help build and extend the AI operational backbone: model serving, inference infrastructure, retrieval, and prompt/agent tooling that other squads will rely on.
  • Own evals for the features you ship — offline and online — so quality regressions get caught before users see them.
  • Make pragmatic calls across foundation models, fine-tuning, RAG, and agent frameworks. Keep the stack lean and the feedback loops tight.
  • Operate AI-native: burning through tokens, using coding agents daily, and shipping features faster than a traditional ML workflow would allow.

Benefits

  • 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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service