Machine Learning Researcher

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.