Computer Science PhD Intern - Machine Learning
Computer Science Ph.D. Internships - Machine Learning
Remote - Europe/UK or North America
About Brave
Brave is committed to safeguarding online privacy as a fundamental human right. Our browser and suite of tools offer enhanced privacy features, a private search engine, a secure crypto wallet, and a unique ad network that rewards user attention. Join us in our mission to reshape the online experience and empower users with control over their data.
Summary
Brave invites Ph.D. students to participate in summer internships focused on pioneering technologies that enhance online speed, security, and privacy for a global user base. As an intern, you will engage in developing software solutions for widespread deployment. Given Brave's involvement in cutting-edge research, interns will work alongside seasoned professionals and academic partners to address intricate technical challenges.
Interns will collaborate with mentors and the broader Brave team. The program, open to U.S. and European participants, generally runs for three months starting in June 2024. The roles may include some measure of flexibility for exceptional candidates.
Interest Areas for these Internships include:
- Efficient/On-device ML
- Large Language Models
- Privacy-preserving ML (differential privacy, privacy attacks, TEEs)
- [Mobile] System Performance Evaluations
Working at Brave
- Lead in privacy innovation with a dynamic research and engineering team dedicated to enhancing online safety and challenging industry giants
- Competitive salaries and benefits, augmented by generous home-office stipends
- Fully remote environment eliminating commutes and office settings
- Collaborative, intelligent team members within a flat organizational structure
- Opportunity to contribute to a rapidly growing company and reshape the online landscape
- Noteworthy leadership with co-founder Brendan Eich, JavaScript inventor
The salary for this position is $7,000 per month or equivalent. Applicants are reminded to avoid duplicating applications for different internship positions.