Ness Computing's mission is to connect people with experiences they’ll love. The company uses advanced machine learning techniques to recognize patterns in people’s preferences, and our first product makes instant restaurant recommendations based on each person’s unique tastes. Ness Computing's team has expertise in applied machine learning, large-scale systems, and mobile user interface engineering. Ness is well funded by top-tier venture investors including, Khosla Ventures, Alsop Louie Partners, and the founders of Palantir and corporate investors including American Express, SingTel Innov8 and NTT DoCoMo.
You’re someone who loves technical challenges and is motivated to produce effective and elegant solutions to problems that others might describe as “impossible.” You are a self-starter, who is comfortable solving new problems, but also like to collaborate and learn from others. As an early member of Ness Computing’s technical team your role will be part architect and part systems builder. We have an ambitious product and engineering roadmap and are looking for people who can develop rapidly and embrace the challenges, responsibilities, and rewards of being a critical member of a highly skilled and driven team.
We're looking for intelligent, talented people with an eye for detail and the ability to think big. Please send resumes to firstname.lastname@example.org.
Rapidly develop proof-of concept prototypes to prove out hypotheses
Design, architect, implement, and debug robust, high-volume production services
Implement and integrate data ingestion, analysis and data-mining systems
Write server-side code for web-based applications
BS/MS in computer science from a top CS programs
Extensive programming experience (5+ years, though not necessarily professionally)
Previous experience working at a startup
Adept at being part of team in implement technical solutions
Strong understanding of, and practical experience with, Java web application development
Strong competencies in data structures, algorithms, and software design
Experience with databases, and cloud computing tool chains like Amazon EC2 and S3
Prior exposure to Maven & PostgreSQL
Expert knowledge developing and debugging in Java on Unix
Knowledge of or interest in machine learning or information retrieval
BS/MS in CS or solid understanding of computer science and software development from work experience. PhD a plus.