About the company
Brave is on a mission to protect your privacy online. We make a suite of internet privacy tools—including our browser and search engine—that shield you from the ads, trackers, and other creepy stuff trying to follow you across the web. 50 million people have already switched to Brave for a faster, more private web.
Job Summary
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)
