Senior Machine Learning Engineer

🔥 1 hour ago

🇧🇷 Brazil – Remote

💵 $78k - $90k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 1%

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MrBeast

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🛍️ eCommerce

☁️ SaaS

🤝 B2B

eCommerce • SaaS • B2B

MrBeast is associated with the Linkpop tool, a mobile-first, customizable link in bio service powered by Shopify, allowing users to turn their social media profiles into monetizable storefronts. It enables creators, influencers, and brands to showcase and sell products directly through their social media bios, integrating seamless Shopify checkout processes. Linkpop provides analytics and customization options to enhance brand presence and sales conversion, supporting additional revenue streams like merchandise sales, dropshipping, and affiliate promotions. This tool is particularly efficient for creators looking to optimize their social media engagement into actionable sales paths, enabling users to track performance and manage links across platforms efficiently.

📋 Description

• 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

• 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

• 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%

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