Software Engineer, AI
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. [...more ]
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.
Apply Now
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. [...more ]
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.
Apply Now