Applied Machine Learning Researcher/Engineer
About the Company
Brave is dedicated to safeguarding individuals' privacy rights on the internet. They have developed a free web browser that blocks intrusive ads and trackers, along with other privacy-focused tools like a private search engine and a native crypto wallet. With millions of users already benefiting from their products, Brave is committed to creating a faster, more private web for everyone.
Overview
Brave is at the forefront of transforming online experiences with advanced AI technology. They are currently in search of an experienced Applied Machine Learning Researcher/Engineer to contribute to the development of their Brave AI products. This role will involve working on various essential projects, including browser ML models, innovative applications, on-device AI solutions, and collaborating with privacy and security experts to mitigate AI-related risks.
Desired Qualifications and Experience
- Proficiency in Generative AI techniques, on-device Machine Learning, and a computer science degree from a reputed institution
- Prior industry experience is advantageous
- Strong initiative, problem-solving skills, and a scientific approach to data analysis
- Keen interest in driving meaningful outcomes and revolutionizing advertising practices
- Comfort working collaboratively within an open-source environment
- Track record of implementing data-driven products and in-depth knowledge of machine learning advancements
- Ability to develop and deploy machine learning pipelines
- Commitment to enhancing user privacy and security
Additional Requirements
- Knowledge and experience in Generative AI with expertise in model fine-tuning
- Proficiency in optimizing and evaluating ML models for on-device performance
- Familiarity with contemporary ML tools like Pytorch, TensorFlow, and MLX
Benefits of Working at Brave
- Opportunity to work at a dynamic international startup with headquarters in San Francisco
- Access to cutting-edge technologies and software solutions
- Competitive compensation and prospects for personal development
- Exposure to a diverse global team environment
The position is primarily based in London, although exceptional candidates from elsewhere in Europe will be considered.