London (Preferred) - Hybrid, or Remote in North America, EU, UK
About BraveBrave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month.
The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us!
Summary
Join us at Brave as we redefine the future of online experiences with a range of cutting-edge, top-performing products. We’re seeking an experienced AI Systems and Performance Researcher/Engineer to shape and improve our performance evaluations and optimizations across desktop and mobile. If you’re passionate about innovation, privacy, and delivering impactful AI solutions, this is your opportunity to make a difference. We need you to help with a wide range of key products, ranging from our browser ML models, novel applications, on-device AI agents, performance evaluations, and collaborating closely with privacy and security researchers to protect the users from AI risks.
About youAn ideal candidate will have a mix of skills that include the following:
- Demonstrates a high level of initiative and consistently delivers high-quality solutions
- Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
- Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
- Want to be part of a high-growth startup company with global ambitions
- Experience with software development practices (Python, C++, JavaScript and/or Rust)
- Has a proven track record implementing data driven products and a broad understanding of the state of the art in systems and networks
- Comfortable working in an open-source setting
- Able to create and deploy mobile/desktop applications and systems
- Has a passion for helping protect users’ privacy and security
- A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience
- Background and/or previous work in AI systems research and performance evaluation.
- Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance.
- Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT, etc.).
- ML Systems (pipelines, performance evaluation, etc.)
- Open source projects on mobile/desktop systems optimization
- Experience with confidential computing and security/privacy protocols
- Ph.D. in computer science from a top-tier school
- A strong publication record in premier systems, performance, or ML
- Work experience in industry is desirable
- Ability to work at an exciting and well-funded international startup headquartered in San Francisco
- Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
- Competitive compensation and plenty of room for personal growth
- Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.
Skills Required
- Experience with software development practices using Python, C++, JavaScript, and/or Rust.
- Proven track record implementing data-driven products.
- Broad understanding of systems and networks.
- Ability to create and deploy mobile and desktop applications and systems.
- Background or previous work in AI systems research and performance evaluation.
- Expertise optimizing and evaluating machine-learning models and/or privacy and security technologies for on-device performance.
- Experience with modern machine-learning frameworks such as PyTorch, TensorFlow, MLX, ONNX Runtime, Core ML, or TensorRT.
- Comfort working in an open-source setting.
- Passion for protecting user privacy and security.
- Ph.D. in computer science.
- Experience with ML systems pipelines and performance evaluation.
- Open-source projects focused on mobile or desktop systems optimization.
- Experience with confidential computing and security or privacy protocols.
- Strong publication record in premier systems, performance, or machine-learning venues.
- Industry work experience.
What We Do
Brave Software’s fast, privacy-oriented browser, combined with its blockchain-based digital advertising platform, is reinventing the Web for users, publishers and advertisers. Users get a private, speedier Web experience with much longer battery life, publishers increase their revenue share, and advertisers achieve better conversion. Users can opt into privacy-respecting ads that reward them with a frequent flyer-like token they can redeem or use to tip or contribute to publishers and other content creators. The Brave solution is a win-win for everyone who has a stake in the open Web and who is weary of giving up privacy and revenue to the ad-tech intermediaries. Brave currently has over 30 million monthly active users and 9.6 daily active users. Brave Software was co-founded by Brendan Eich, creator of JavaScript and co-founder of Mozilla (Firefox), and Brian Bondy, formerly of Khan Academy and Mozilla.
