Software Engineer, Machine Learning
at meebo in Mountain View, CA
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Jan 30, 2012
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Overview
Meebo is seeking an empirically-minded groundbreaker to join its ranks. We love instrumentation, A/B testing, and take delight in uncovering the unexpected. We’re seeking our next team member who will build a world-class product-oriented data system that will serve as the compass for nearly all strategic company decisions. This individual should have a deep desire to work with very large data sets to guide product decisions and to strengthen the end-user voice within Meebo.
Responsibilities
What does a Software Engineer, Machine Learning do at Meebo?
Develops highly scalable classification systems
Scales and optimizes current data infrastructure
Apply machine learning methods to highly distributed, parallel computing architecture (e.g. distributed clusters)
Turns cutting-edge machine learning techniques into applications that reach millions of users
Peer code reviews and debugs interesting problems
Explores new technologies (Amazon EMR, Hadoop/Pig)
Designs innovative systems to meet an ever growing user base
Identify interesting trends in huge data sets
Experience
The candidate must have:
3-5+ years of software development experience on Linux/Unix
Proven expertise in machine learning and large-scale data mining for analytics.
Experience with filesystems, server architectures, and distributed systems.
BS, MS, or PhD in Computer Science (or equivalent)
Ability to communicate design decisions, code walk-throughs, bugs, (and what to have for lunch) thoroughly, clearly, and concisely
Ability to adapt, take critical feedback, and execute quickly on tasks
Experience developing in a Unix environment
Phenomenal debugging principles and perseverance (plus familiarity with debugging tools like gdb, strace, pstack, etc.)
Skills
Big pluses:
Previous experience with networking technologies
Database fundamentals (mysql)
Experience and interest in high performance, scalable systems
Familiarity with scripting (python, php, bash, etc.)
Experience with version control (SVN)
Solid production-level C/C++ experience
Experience with S-PLUS/R, Matlab/Octave, or other mathematical languages
Education
BS, MS, or PhD in Computer Science (or equivalent)
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