Machine Learning Intern

ABOUT RIBBON COMMUNICATIONS Ribbon Communications is a company with two decades of leadership in real-time communications. Built on world-class technology and intellectual property, the company delivers intelligent, secure, embedded real-time communications for today’s world. The company transforms fixed, mobile and enterprise networks from legacy environments to secure IP and cloud-based architectures, enabling highly productive communications for consumers and businesses. With 64 locations in 27 countries around the globe, Ribbon’s innovative, market-leading portfolio empowers service providers and enterprises with rapid service creation in a fully virtualized environment. To learn more, visit rbbn.com.

OPPORTUNITY

Ribbon Communications is looking for a machine learning intern to assist in the design and development of machine learning solutions on Ribbon Analytics. Ribbon Analytics is a big data network analytics and security product that collects, processes and reacts to massive amounts of data collected from the network, leveraging machine learning and other techniques to analyze trends and outliers in the data and take action to mitigate security threats, fraud, etc in a customer’s network.

The position will be within the Ribbon Analytics development team, working on the latest technologies in the Big Data and Analytics field using contemporary machine learning and data pipeline frameworks to implement scalable analytics solutions to real world problems in the telecommunications space.

A successful candidate must be self-driven, possess a strong work ethic, with a career interest in development of highly scalable machine learning applications. They must be excited about working with new technologies and comfortable working in a dynamic work environment.

What you will be doing: (Responsibilities)

· Selection, prototyping, and evaluation of machine learning capabilities such as unsupervised, online anomaly detection utilizing latest tools and techniques.

· Architect and develop large-scale, distributed data processing/machine learning pipelines using technologies like Hadoop, Impala, Flink, and Airflow.

What we need to see: (Qualifications)

· Currently enrolled in a computer science/data science masters degree program

· Strong programming skills in Python as it relates to machine learning, data science, and big data frameworks.

· Strong understanding of SQL for analytics use cases

· Strong foundation in mathematics, statistical analysis, and probability.

· Extensive experience and knowledge of machine learning frameworks/libraries such as XGBoost, PyTorch, Tensorflow, etc

· Ability to independently decompose larger problems and progressively work a solution to completion

· Ability to quickly pickup new tools and technologies to assist in rapid prototypes

· Ability to employ good judgment in efficiently selecting methods, techniques, and evaluation criteria for obtaining results

· Ability to work in the Westford MA office at least two days per

Ways To Stand Out From The Crowd (Preferred Skills)

· Experience with unsupervised anomaly detection

· Experience with distributed systems, streaming systems, and data engineering tools, such as SQL, HDFS, S3, Kubernetes, Airflow, Kafka, Flink, etc.

· Experience developing machine learning solutions in Openshift, AWS

· Experience with Deep Learning framework

Please Note:

'All qualified applicants will receive consideration for employment without regard to race, age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, on the basis of disability, or other characteristic protected by applicable law.'

US Citizens and all other parties authorized to work in the US are encouraged to apply.