About 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, a browser-native crypto wallet, and a private ad network (opt-in!) that directly rewards you for your attention. And we’re just getting started. Already close to 50 million people have switched to 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
Brave is looking for an experienced software engineer, AI to help build our next generation of AI-powered browser features at Brave. We're seeking someone who can evaluate, integrate, and optimize state-of-the-art language models, while working closely with our browser development, design, and product teams. We’re working on new ways of browsing, applying new ideas and reinventing features to make Brave even better. Brave Browser is used by nearly 100M users, and they are already embracing our leading AI features.
Core Responsibilities
- Lead technical evaluation and integration of new LLMs, including both server-side applications and on on-device deployment scenarios
- Design and implement inference pipelines, and create prompting strategies for browser-based AI features
- Collaborate with browser engineers to integrate AI capabilities into the core product
- Partner with product and design teams to define and implement new AI-powered features
Required Qualifications
- 2 to 5 years of experience optimizing and deploying ML models in production environments
- Strong software engineering background with production experience in Python
- Extensive experience with PyTorch or other modern ML frameworks
- Knowledge of on-device LLM deployment challenges and opportunities
- Proven track record of shipping ML features in consumer applications
- Experience with model optimization and inference frameworks (e.g., ONNX Runtime, TensorRT, Core ML)
Preferred Qualifications
- Master's degree in Computer Science, Machine Learning, or related field
- Proficiency in modern web development technologies
- Experience building AI applications
- Background in browser or browser extension development
What We're Looking For
- Deep curiosity about emerging AI models and their practical applications
- Strong problem-solving skills with ability to work in ambiguous environments
- Excellence in cross-functional collaboration and technical communication
- Drive to make AI technology more accessible through the browser
- Pragmatic approach to balancing innovation with shipping products
What We Offer
- Opportunity to shape the future of AI-powered browsing experiences
- Work with cutting-edge technology and state-of-the-art ML tools
- Competitive compensation with room for growth
- Great international exposure and team atmosphere
- Flexible work location with preference for London office
While we prefer candidates who can work from our London office, we're open to remote candidates in compatible time zones. We offer flexible working arrangements to support a healthy work-life balance.
Compensation
$150,000 $200,000 - Depends on Location, Market Rate and Experience.
