MACHINE LEARNING ENGINEER (Contextual)
Company: Anchorfree
Location: Mountain View
Posted on: April 1, 2026
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Job Description:
MACHINE LEARNING ENGINEER (Contextual) Background: 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. Job Qualifications: 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 Preferable Job Qualifications:
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 Compensation and Benefits:
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
Keywords: Anchorfree, Sacramento , MACHINE LEARNING ENGINEER (Contextual), IT / Software / Systems , Mountain View, California
