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Machine Learning Engineer

🌐 Remote💼 Full-time💰 $100,000–$160,000🗓 2026-07-30

Core

Building in-browser machine learning features for Brave Ads and Brave Today to serve 24+ million users.

Role type

Machine Learning Engineer

Builds

Brave Ads and Brave Today products

Domain

Browser technology, Adtech, Privacy

Deliverable

production ML models

Required skills

JavaScript, C++, Python, Logistic Regression, Decision Trees, Random Forest, Naive Bayes, SVMs, Clustering, Multi-Armed Bandits, Reinforcement Learning, NLP, data preprocessing, ML pipeline deployment

Preferred skills

Chromium codebase experience, privacy-preserving/decentralized ML, Adtech knowledge

Technologies

JavaScript, C++, Python, Java, C#

Responsibilities

Implement data-driven products, create and deploy machine learning pipelines, work in an open source setting

Seniority

Individual Contributor

Rewrite
## About the role Brave is looking for a Machine Learning Engineer to work on advancing Brave's use of in-browser machine learning in features like Brave Ads (our system that rewards users for seeing privacy respecting ads) and Brave Today (our news product). Your work will impact the 24+MM monthly Brave users, and your work will improve some of the most popular parts of the Brave product. ## Responsibilities - Work on advancing Brave's use of in-browser machine learning in features like Brave Ads (our system that rewards users for seeing privacy respecting ads) and Brave Today (our news product). - Impact the 24+MM monthly Brave users. - Improve some of the most popular parts of the Brave product. ## Requirements - Working knowledge of JavaScript and C++ so that they can effectively interact with the rest of the team. - Knowledge of Python, Java or C# is also strongly encouraged. - Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning. - Familiarity with techniques such as Logistic Regression, Decision Trees, Random Forest, Naive Bayes, SVMs, Clustering, Multi-Armed Bandits and Reinforcement Learning. - Familiarity with NLP. - Basic data cleansing and preparation, variable preprocessing/transformation. - Comfortable working in an open source setting. - Able to create and deploy machine learning pipelines. - Has a passion for helping protect users' privacy and security. - Written and verbal communication skills in English. - Proven record of getting things done. ## Nice to have - Experience with the Chromium code base or other similar browser code base. - Experience in Privacy-preserving/decentralized machine learning. - Knowledge of Adtech. ## What we offer - Apply Now
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