5 days ago
Remote, CanadaIntern
Responsibilities
- Build and maintain ETL pipelines for structured and unstructured data.
- Develop backend services and tooling in Python and TypeScript for data workflows and API integrations.
- Integrate and optimize LLM inference pipelines, including prompt engineering, model serving, and evaluation.
- Deploy and manage containerized workloads on Kubernetes, including manifests, autoscaling, and cluster troubleshooting.
- Improve data quality, pipeline reliability, and system observability.
- Prototype, implement, and ship privacy-enhancing Brave browser features in C++ or Rust.
- Build browser-native privacy protections, permissions, and anti-fingerprinting defenses.
- Work with the Web security model, Chromium architecture, HTML, CSS, and JavaScript.
- Collaborate asynchronously with a geographically distributed open-source team using Git and GitHub.
Requirements
- Currently be a student at Waterloo University.
- For the data and AI track, work with Python, TypeScript, data processing workflows, LLM inference, and Kubernetes.
- For the privacy track, work with C++ or Rust, browser technologies, Chromium architecture, and the Web security model.
Benefits
- Remote work during the winter session.
- Four-month internship with compensation of $6000.00 per month.
- Flexible schedules to accommodate studies.
- International exposure and collaboration with a distributed team.
- Opportunity to work with cutting-edge technologies at a well-funded international startup.
Tech Stack
Categories
About Brave
Brave builds a privacy-focused web browser and independent search engine, plus a Search API, AI assistant, and VPN. Its business model combines opt-in, privacy-preserving advertising that rewards users, consumer subscriptions, and licensing of its search index via API. Founded in 2015 by Brendan Eich and Brian Bondy and headquartered in San Francisco, the privately held company reports over 120 million users and operates one of the few large-scale web search indexes in the West.