Brave is on a mission to fix the web by giving users a safer, faster and better browsing experience – while growing support for content creators through a new attention-based ecosystem of rewards.Much more than a browser, Brave is a new way of thinking about how the web works. Brave is open source, and built by a team of privacy focused, performance oriented pioneers of the web, founded by the inventor of Javascript and co-founder of Mozilla.

brave London, UK
22/10/2018
Full time
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.  Specific Skills That Will Set You Apart from the Competition Privacy-preserving machine learning Decentralized machine learning Deep knowledge of adtech Ph.D. in computer science from a top-tier school  About you An ideal candidate will have a mix of skills that include the following: Demonstrates a high level of initiative and consistently delivers high-quality answers Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior Is excited by the potential of realising 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  Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged. Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning  Comfortable working in an open source setting Able to create and deploy machine learning pipelines 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 Specific  Skills Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches Basic data cleansing and preparation, variable preprocessing/transformation Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression Preparation of data sets for predictive modelling, robust predictive model building, validation and application Automation of statistical processes and integration into a bigger product Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi 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.