Senior Machine Learning Engineer

MrBeast

. Develop, evaluate, and deploy machine learning models for brand safety, sponsor detection, topic classification, and video analysis .

Posted 11/9/2026full-timeRemote • BrazilSenior💰 $78,000 - $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models, with a strong focus on data analysis, model performance monitoring, and collaboration across teams. Proficient in SQL and Python, with hands-on experience in NoSQL databases and data pipeline management.

Highest-signal resume keywords

Machine Learning Model DevelopmentSQL ProficiencyPython ProficiencyNoSQL Database ExperienceData Analysis Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceModel EvaluationA/B TestingFeature EngineeringData Pipeline DevelopmentEntity ResolutionFraud DetectionRecommendation SystemsVideo Analysis

Soft Skills

Clear CommunicationCoaching

Tools & Technologies

DatabricksSnowflakeAI Coding Tools

Industry Keywords

Brand SafetySponsor DetectionTopic ClassificationConsumer-Scale CompaniesMLOps

Tech Stack

Tools & technologies

JavaScriptNoSQLPythonSnowflakeSQLTypeScript

About the role

Key responsibilities & impact

Develop, evaluate, and deploy machine learning models for brand safety, sponsor detection, topic classification, and video analysis
Develop customer 360 records and entity-resolution systems
Own models from experimentation through production monitoring
Build and maintain data pipelines and feature workflows using SQL and NoSQL data at scale
Partner with engineering, product, and business teams to turn ambiguous questions into measurable models and clear analyses
Coach and level up other engineers
Use AI coding tools daily
Write clean, reliable, and reproducible production code
Report to the Director of Engineering

Requirements

What you’ll need

5+ years of experience in Data Science or Machine Learning Engineering
Proficiency in SQL and Python
Hands-on experience with NoSQL databases and Databricks or Snowflake
Track record of taking machine learning models from prototype to production and owning their performance once live
Experience building evaluation datasets, defining offline and online metrics, running A/B tests and shadow runs, and monitoring models in production
Excellent data analysis skills, from exploratory analysis to rigorous evaluation
Ability to communicate clearly with both technical and non-technical audiences
Bonus experience with content classification or video understanding, LLM-based systems and evaluation, entity resolution or identity matching, fraud or anomaly detection, recommendation or ranking systems, MLOps tooling, JavaScript/TypeScript, or consumer-scale companies

Benefits

Comp & perks

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
Equity
Bonus 15%