Remote3w ago
Brave
Brave 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!
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 you
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.).
Skills That Will Set You Apart from the Competition
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
Working at Brave - What we offer
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.
Full-time, Hybrid, London (preferred), Experienced AI Systems and Performance Researcher/Engineer, High level of initiative, Delivers high-quality solutions, Enquiring mind, Disciplined scientific approach, Excited by high-value commercial outcomes, Interest in high-growth startup, Experience with software development practices (Python, C++, JavaScript, Rust), Proven track record implementing data-driven products, Broad understanding of systems and networks, Comfortable working in open-source setting, Able to create and deploy mobile/desktop applications and systems, Passion for user privacy and security, Ph.D. in computer science highly preferred (exceptions with industry experience considered), Background/previous work in AI systems research and performance evaluation, Expertise in optimizing and evaluating ML models/privacy & security technologies for on-device performance, Experience with modern Machine Learning (ML) frameworks (Pytorch, TensorFlow, MLX, ONNX Runtime, Core ML, TensorRT), ML Systems (pipelines, performance evaluation) (preferred), Open source projects on mobile/desktop systems optimization (preferred), Experience with confidential computing and security/privacy protocols (preferred), Ph.D. in computer science from top-tier school (preferred), Strong publication record in premier systems/performance/ML (preferred), Work experience in industry (desirable)
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