THE HIVE INTERNSHIP PROGRAM

Learn from experts • Work with the most promising startups • Connect with Silicon Valley Thought Leaders• Be part of The Hive Family!

Section 1 : 2017 Summer Internships
Closed

Section 2 : 2018 Summer Internships
To Be Announced

TO APPLY: SEND YOUR RESUME & COVER LETTER TO JOBS@HIVEDATA.COM & LET US KNOW WHICH OF THE BELOW AREA IS OF INTEREST TO YOU.

Internship Program Areas

Over last few years cheap computing, novel algorithms and mountains of data have unleashed new AI based services. The Hive is at the fore front of this trend and successfully built companies that tackle use cases involving large amounts data. The Hive is currently working myriad of possible use cases that could make machine learning broadly accessible to high-value business users.

Deep Chatbot Platform

The cognitive enterprise is the hallmark of enterprise automation; wherein both operational and strategic decision-making can be automated from artificial intelligence (AI) based extraction of high-level inferences from real-time streams of raw data. The cognitive systems have evolved collaborative interfaces with people through the advent of conversational intelligence (chat-bot) platforms like Slack, Microsoft Cortana, Apple Siri et al. Advancements in natural language understanding and computer vision have enabled these systems to scale up to the complexities of natural human interaction, bringing productivity gains to people interacting with processes.

The main objective of the platform is a machine learning, conversational dialog engine for creating chat bots and seamless integration with FB Messenger, Slack and other messaging platforms. The platform will have

• A domain training component along with NLP/NLU engine.
• DSL based workflow Engine to configure chatbot and knowledge flows

Requirements / Qualifications

• Student in pursuit of BS or MS or PhD in Computer Science or Electrical Engineering or related field is preferred
• Good programming and algorithmic skills Python/Java/C/C++
• Good understanding of mathematical foundations behind Machine Learning algorithms, statistical modeling, data mining.
• Exposure to Information Retrieval, NLP etc.,
• Proficient with Tensor Flow

Intelligent data labeling and annotation (Ground Truth Gold)

The cognitive enterprise is the hallmark of enterprise automation; wherein both operational and strategic decision-making can be automated from artificial intelligence (AI) based extraction of high-level inferences from real-time streams of raw data. The biggest thrust to cognitive computing has come from the availability of data. A significant corpus of historical information in a specific domain will enable an AI application to extract key concepts, entity recognition, associations, and hierarchies and generate what we call smart data by merging domain knowledge with ontologies.

A common bottleneck in deploying supervised learning systems is collecting human-annotated examples. In many domains, annotators form an opinion about the label of an example incrementally. As part of the internship we’ll be developing active learning techniques to develop semi-automatic data annotation and applied to text data and machine data. We will be looking into two verticals to test the same.

Requirements / Qualifications:

• Student in pursuit of BS or MS or PhD in Computer Science or Electrical Engineering or related field is preferred
• Good programming and algorithmic skills Python/Java/C/C++
• Good understanding of mathematical foundations behind Machine Learning algorithms, statistical modeling, data mining.
• Working knowledge of Deep Learning.