We are hiring:
We're an early stage seed-funded startup that wants to change the way people think of social interactions in the real world and online. We are committed to building an intellectually stimulating and fun environment, where technology and product excellence are respected above all. We pride ourselves in having an open culture of equals. We have a cozy office in downtown San Francisco with a red couch and a well-stocked kitchen.
We are tackling very complex algorithmic, technology and product problems. We’re building systems designed to scale. Some tools in our toolkit - javascript (node.js, javascript mvc), hypertable, hadoop, C++ and Ruby. We like unit testing, continuous integration and contributing to open source.
About you:
If you...
- feel that current social tools are only the tip of the iceberg
- are excited by complex problems in computer science and sociology
- crave an environment where there is absolute respect for everybody's contributions
- have natural curiosity and strong technical skills
- have a burning desire to create something of lasting value
- want to have fun and learn new things every day
You must be smart and able to “pick technologies up". We expect you to have the potential and ambition to grow into a technology leadership role. Passion and initiative are more important to us than conformity. We care more about what you've done beyond your day job or school requirements
Key Requirements:
- BS, MS or Ph.D in Computer Science, Mathematics or equivalent
- Strong grounding in core computer science
- Experience developing complex web applications a major plus
- Self- starter with a brilliant academic record and/or work experience
Product Engineer
- All of the above key requirements plus
- Must consider yourself a generalist. Should be comfortable picking up any technologies front end and back end as required
- Experience building large javascript applications is a plus
Machine Learning Engineer
- All of the above key requirements plus
- Breadth of knowledge in machine learning and recommendation systems
- Direct experience dealing with large data sets is a plus
Product Engineer, node.js (contractor)
- Expertise in javascript and node.js
- Self-starter, gets things done, can hit the ground running
- Expertise in other frontend technologies- LAMP, Webservers, EC2, CSS, is a plus.
- BS, MS. PhD in Computer Science or equivalent preferred
