Overview
Why should you join dMetrics?
Be part of changing how people think about automatic text analysis.
Build algorithms, SaaS, and API to analyze millions of online discussions, resulting in the most accurate, unbiased analysis of product decisions made by people worldwide.
Explore large-scale content aggregation, data processing, and storage. Provide leadership, code discipline, and project design by example.
Work closely with others to build a solid product stack. We believe in giving each employee ownership over an important part of our technology, product, and service.
Get to work with top-notch researchers in machine learning and natural language processing.
Be a true partner in our project (i.e. meaningful equity).
Get reasonable salary, bonuses, medical, and other benefits.
Work from NYC (Lower East Side), although we also have openings in Boston, Barcelona, and Tel Aviv.
Get to enjoy informal and friendly office atmosphere.
Note: we are primarily a Java shop (plus some Python, Scala and R). Our infrastructure is EC2-based and we rely on Maven, Jetty, Solr, MongoDB, and MySQL. We hope that you are well-versed in these technologies, but are comfortable changing if a better alternative comes along. Our development environment supports both OS X and Ubuntu.
Responsibilities
Use your expert Java skills to solve a wide variety of engineering challenges, ranging from data flow, to storage, to aggregation, to supporting APIs and the presentation layer.
Design and build high-load web applications and service-oriented systems for storing, processing, and searching a very large volume of unstructured text.
Implement a SaaS information delivery architecture. Deploy to and manage apps in the cloud.
Experience
Multiple years industry experience
Startup experience
Skills
Bonus: Knowledge of machine learning, statistics, natural language processing.
Bonus: Designing and consuming RESTful web service APIs.
Bonus: Hands-on experience with Hadoop / MPI or equivalent.
Bonus: Experience with cloud deployment.
Bonus: Experience with Python, Ruby, bash/unix tools.