MACHINE LEARNING ENGINEER (Contextual)

AnchorFree is a fast growing technology company in Silicon Valley that makes a significant impact on people’s lives around the globe by enabling free access to all information and content online and enabling millions of users to browse the web securely and privately. In regions that censor the web, millions of users utilize AnchorFree to get uncensored access to the Internet. Travelers, Expats, and security conscious consumers use AnchorFree to securely surf the web in more than 100 countries. Funded by blue chip investors, AnchorFree is growing more than 200% per year, democratizing the Internet and putting users in control of their identity and data online. The service is free for users and is ad supported, with an option to upgrade to a paid ad-free version. More than 2 billion page views per month are viewed through AnchorFree’s service by more than 9 million monthly users. AnchorFree’s Hotspot Shield has been downloaded more than 25 million times.

Position

Are you interested in developing algorithms that increase relevancy of the content offered to the free users while respecting their privacy and anonymity? Would you like to impact millions of users world-wide? If you're an engineer who is passionate about data, quality, results, and innovation; if you have experience applying information retrieval, natural language processing, or machine learning techniques to solve practical business problems; if you are a creative problem-solver; if you build prototypes for breakfast, then we want to hear from you!

Job Responsibilities

• Develop and optimize new ways to present additional content to VPN users while they are browsing the Web
• Develop and optimize real-time content analysis tools to increase relevancy of offered content
• Apply state of the art machine learning algorithms to improve user experience and business results
• Use front-end and back-end technologies such as advanced Javascript, NGinx, high-performance databases to rapidly prototype and deploy your solutions.

• Practical knowledge and understanding of the state of the art data-mining and machine-learning techniques.
• Solid experience with advanced Javascript (experience limited to jquery is not enough), HTML, CSS.
• Extensive experience programming on Unix Platforms.
• Good knowledge of the LAMP stack
• Experience with cross-platform, cross-browser development
• Experience working in startups and small team environments
• A track record of delivering quality bug-free code on schedule
• Excellent communication skills - both written and spoken
• Masters degree in computer science (machine learning) with 3+ years of relevant industry experience

• Industry experience, especially in a consumer internet or online advertising related setting.
• Experience with natural language processing, contextual analysis, keyword extraction, summarization
• Experience with OSS learning packages like Mahout, scipy, weka, etc.
• Knowledge of Perl, Python or other scripting languages
• Experience with searching and indexing

• Very competitive salary
• Excellent employee stock option plan
• Relocation assistance available
• Free food and drinks
• Foosball, Small gym and showers, Pool table, Table Tennis
• FREE Medical, Dental and Vision
• 401k
• Easy Access to Caltrain and Light Rail (free pass)
• Employee discounts on HP, Apple and Verizon