Senior Software Engineer - Java, NoSQL Knewton
Knewton is on a mission to personalize education. At Knewton, you?ll solve tough problems, own your projects, and grow on the job. Knewton has been recognized as a Technology Pioneer by the World Economic Forum in Davos and one of the top 25 best places to work by Crain?s New York Business.
You will be part of a high caliber team whose members have won medals in math olympiads and programming competitions with publications in top tier distributed systems and machine learning conferences. A team who enjoys exploring new paradigms and technologies to build things that scale, replicate, are easy to manage, and have elegant APIs.
This is an outstanding opportunity to:
? Work on a system that executes real-time statistical models processing thousands of model parameters per second to deliver recommendations to hundreds of thousands of students in real-time.
? Be a key contributor as that system grows into tens of millions of students.
? Work with top data scientists on implementing their models in an efficient way.
? Design and implement components for the recommendation service and framework with focus on scalability, availability, easy maintenance and providing an intuitive API for model development by data scientists.
? Perform design reviews with a focus on clarity and efficient trade-offs between development time, model precision, and maintenance cost.
? Perform code reviews with focus on best practices in terms of software engineering and clean, high performance code.
? Communicate with internal teams (front-end and analytics) and handle their requirements from brainstorming to implementation.
You must have:
? A CS or related Degree (MS, Phd A+) and 5+ years of industry experience in building distributed Java applications/systems.
? Experience in mentoring junior developers.
? Comfort in jumping into projects that touch different components of a large system.
? Comfort with cross-team communication.
? Desire to pay attention to detail and enforce high design/coding standards.
? Familiarity with agile development methodology.
? Performed design and code reviews.
? Experience in writing optimized Java code.
Not required, but highly desirable:
? Experience fine tuning the Java Virtual Machine (JVM).
? Familiarity with Amazon Web Services (AWS) and Unix.
? Experience with open-source technologies.
? Experience with big data processing using NoSQL technologies like Cassandra, Hadoop, and Hive.
? Experience in stream processing or actor models like Akka.
? Knowledge of machine learning techniques.
? Competitive salary and stock options.
? As much paid vacation as you need to take.
? Flexible hours.
? High-quality equipment (default setup: a Mac laptop with a giant monitor).
? The opportunity to use cutting-edge machine learning and engineering techniques to transform and democratize education.
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