With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

Verisk's AI team has multiple internship opportunities available. If you are in a Masters or PhD program and studying AI and big data (deep) machine learning for applications in computer vision, text analytics, speech understanding as well as for other structured and unstructured data, we want to connect with you.

Position Summary:

We seek qualified, highly motivated candidates interested solving pure and applied research problems in (not limited to) the following areas and their application to solving business problems.

• large scale ML with deep neural networks; supervised, unsupervised, weak/ self-supervised and reinforcement learning; learning from imagination and simulations for applications in computer vision, natural language processing and automatic speech and document understanding; 
• knowledge representation including common sense knowledge; Markov logic networks; probabilistic symbolic reasoning; causal and interpretable AI; 
• probabilistic graphical models; deep learning on graphs; variational Bayesian methods; free energy minimization; active inference; 
• intelligent human machine collaborative systems; crowd-sourcing; interaction and communication policy; continuous and active learning.
• Ongoing projects: media forensics, fraud detection, IIE from documents, document classification, aerial image understanding, activity understanding for retail videos, modeling weather phenomena, domain-adaptive speech recognition, GANs for discrete data, images (compositional models) and videos; disentangling factors of variation in image & text; multimodal VAEs; stability analysis of DCNs; deep learning on graphs, etc.

• Be enrolled in a M.S. or Ph.D. program, studying computer science, electrical engineering, or a related discipline
• Expertise & hands-on experience in AI, ML, CV, NLP, ASR or related area; publication in relevant top-tier conferences or journals highly desirable 
• Proficiency in relevant programming languages and relevant tools and libraries
• Familiarity with Hadoop/Sparc, GPU programming, SQL, noSQL DBs; experience with application development in Linux/ Windows desirable
• Excellent communication, problem-solving, and analytical skills; ability to learn quickly
• Passion for theoretical and applied research and for answering hard questions with data
• Ability to work both autonomously and with a team

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html