2,043,529open jobs
120,369companies
245,784added this week
Browse all
Salary
$270k – $338k per year
Location
Hybrid (San Mateo, United States)
Seniority
Senior · 6+ years exp
Visa
H-1B filings in 12 months: 1

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Jun 17, 2026. MrBeast scores A on the Alion truth index.

Overview
Company
Impact
Profile match
MrBeast is the media and entertainment business of Jimmy Donaldson, the YouTube creator known as MrBeast, run through MrBeastYouTube LLC and the wider Beast Industries group from Greenville, North Carolina. Beyond YouTube channels that reach an audience of more than 100 million people, Beast Industries spans digital media, philanthropy, consumer products and other ventures, and is building an AI-first engineering team in the San Francisco Bay Area and New York. It hires video editors, YouTube creative strategists, social media and brand partnership managers, project managers, IT and HRIS engineers, finance systems analysts and machine learning engineers.

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 Machine Learning Engineer

The Opportunity

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.

The Product

You'll design, build, deploy, and operate ML systems that power the MrBeast ecosystem, bridging data science, software engineering, and platform engineering to ship production-grade capabilities. That means:

  • 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.

What You'll Do

  • 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.
  • Partner with product, data scientists, and software engineers to define and ship ML solutions.
  • Drive architecture decisions for ML infrastructure and platform capabilities, and cut deployment cycle time.
  • Mentor engineers, set best practices, and make sure systems meet security, reliability, and compliance bars.

Who You Are

  • AI-Native: You live and breathe this: you're already burning through tokens daily, and shipping ML is the job itself.
  • Production ML Builder: Typically 6+ years in software or ML engineering, with strong experience deploying and operating ML systems in production and solid Python and software engineering practice.
  • Systems Thinker: You've designed scalable distributed systems and data-intensive applications, and you know why a model that looks great offline can fail in production.
  • Evidence-Driven Owner: 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.

Benefits

  • Equity: Highly competitive equity package designed for a foundational hire.
  • Hybrid Model: Expected ~3 days per week in-office - San Mateo, CA

Compensation $270,000 -$338,000 base + equity + 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
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,043,529 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
San Mateo
≈ $167k – $332k per year (Estimated) · In office · Full-Time · 10+ years exp · Bachelor's Degree · Philadelphia · Charlotte · Columbus · Atlanta · Chicago
Python
TypeScript
SQL
C#
Databases
Databricks
Azure Cosmos DB
Azure SQL Database
AI/ML
AI Agents
LLM
RAG
Hallucination
OpenAI
GPT-4
LLM Guardrails
EU AI Act
NIST AI RMF
DevOps
Terraform
Azure DevOps
GitHub Actions
Azure
CI/CD
Docker
Kubernetes
Grafana
Bicep
FinOps
Analytics
Power BI
Apply
$205k – $250k per year · In office · Full-Time · 5+ years exp · Bachelor's Degree · San Jose · Pasadena · Redwood City · Los Angeles · San Francisco
Python
Go
Java
TypeScript
Databases
PostgreSQL
AI/ML
Model Context Protocol
Function Calling
AI Agents
LLM
RAG
Human-in-the-Loop
Agentic Workflows
DevOps
Azure
Analytics
A/B Testing
Apply
$116k – $154k per year · In office · TS/SCI · Full-Time · 5+ years exp · Bachelor's Degree · Herndon
Python
Java
Rust
TypeScript
C++
C++
TensorFlow C++
AI/ML
Computer Vision
TensorFlow
NumPy
PyTorch
Machine Learning
DevOps
CI/CD
Docker
Kubernetes
Linux
Analytics
Matplotlib
Apply
AI/ML Engineer 1 hour ago
$140k – $200k per year · In office · TS/SCI · 4+ years exp · Bachelor's Degree · Oklahoma City
Python
Databases
Amazon Aurora
AI/ML
Machine Learning
DevOps
Git
AWS
Linux
Robotics
Sensor Fusion
Apply
$185k – $258k per year · In office · Full-Time · 6+ years exp · Bachelor's Degree · Washington · Austin
Python
Go
JavaScript
Java
Kotlin
TypeScript
Python
FastAPI
AI/ML
LangGraph
LangChain
LlamaIndex
Embeddings
Function Calling
AI Agents
Semantic Kernel
RAG
Reranking
Hybrid Search
OpenAI
Anthropic
Human-in-the-Loop
Structured Outputs
LLM Guardrails
Agentic Workflows
Frontend
GraphQL
Next.js
React.js
DevOps
Rest API
CI/CD
Apply
Data Scientist 2 5 days ago
≈ $17k – $45k per year (Estimated) · In office · 4+ years exp · Delhi · Gurgaon · Noida
Python
SQL
AI/ML
XGBoost
Scikit-learn
TensorFlow
PyTorch
Machine Learning
Apply
Data Scientist 5 days ago
≈ $14k – $31k per year (Estimated) · In office · 2+ years exp · Bengaluru
Python
AI/ML
Scikit-learn
AI Agents
NLP
Pandas
NumPy
Time Series
Machine Learning
Apply
In office · Łódź
Python
Bash
DevOps
Linux
Apply
≈ $17k – $36k per year (Estimated) · In office · Bachelor's Degree · Saint Petersburg
Python
Management
Agile
Kanban
Apply
$37k – $70k per year · Remote (Argentina, Mexico, Costa Rica, Dominican Republic) · Full-Time · 2+ years exp · Bachelor's Degree
AI/ML
Machine Learning
Management
Jira
Agile
Scrum
Apply
≈ $41k – $72k per year (Estimated) · In office · 2+ years exp · Greenville
Apply
$178k – $223k per year · Equity · Hybrid · 8+ years exp · San Mateo
DevOps
CI/CD
Apply
Quality Engineer 6 days ago
$135k per year · Equity · Hybrid · 2+ years exp · San Francisco
Mobile
XCTest
DevOps
CI/CD
SLI/SLO/SLA
QA
Playwright
Appium
Apply
Assistant Editor 8 days ago
≈ $61k – $113k per year (Estimated) · In office · 3+ years exp · Greenville
Apply
$178k – $223k per year · In office · 3+ years exp · San Francisco
Go
JavaScript
Java
Rust
Node JS
DevOps
WebSockets
Apply
≈ $45k – $79k per year (Estimated) · In office · Part-Time · San Mateo · San Francisco · Oakland
Apply
$275k – $300k per year · Hybrid · Full-Time · 10+ years exp · Bachelor's Degree · San Mateo
SQL
Management
Agile
Apply
$159k – $201k per year · Equity · Hybrid · San Mateo
Apply
$329k – $362k per year · Equity · Hybrid · 8+ years exp · Bachelor's Degree · San Mateo
Python
Go
Rust
AI/ML
Quantization
AI Agents
LLM
RAG
Knowledge Graph
Machine Learning
DevOps
SLI/SLO/SLA
Apply
$130k – $155k per year · Equity · Hybrid · San Mateo
SQL
Apply
See all jobs
This is one of many
2,043,529 more open roles from verified company boards, updated every day.