Applied Scientist - Intern

Key Skills

Deep Learning, Natural Language Processing (NLP), PyTorch, TensorFlow, MLflow, MxNet, NeurIPS, Large scale deployment

Job Description

The Qualtrics XM Platform™ is a system of action that helps businesses to attract customers who stay longer and buy more, to engage and empower employees to do the best work of their lives, to develop breakthrough products people love, and to build a brand people can’t imagine living without.

Joining Qualtrics means becoming part of a team bold enough to chase breakthrough experiences - like building a technology that will be a force for good. A team committed to diversity, equity, and inclusion because of a conviction that every voice holds value, with a vision for representation that matches the world around us and inclusion that far exceeds it. You could belong to a team whose values center on transparency, being all in, having customer obsession, acting as one team, and operating with scrappiness. All so you can do the best work of your career.

We believe every interaction is an opportunity. Are we yours?

Introduction

Are you an MS or PhD student interested in a 2022 Graduate Research Internship in Artificial Intelligence and Machine Learning? Does it excite you to work on Conversational AI, Natural Language Understanding, Deep Learning, and/or Data Science? Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products to directly improve the experiences of millions of people in a meaningful way?

At Qualtrics we enable thousands of data driven decisions by market leading companies across dozens of industries. This means impacting events as frequent and important as your latest coffee order to events as vital as you or your loved one’s latest health care experience.

The Challenge

We are looking for talented and innovative applied science interns to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

As a Machine Learning Applied Scientist Intern at Qualtrics, you should love building cutting-edge predictive models to solve hard customer problems. Crafting models in an agile environment to withstand hyper growth and owning quality from end-to-end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!

In Addition, You Will

• Address challenges in products through Deep Learning and Data Science approaches and publish research papers.
• Work as part of a multidisciplinary team to research, implement, and evaluate cutting-edge machine learning models to meet the demands of our rapidly growing business.
• Stay on top of the latest developments in Machine Learning and related research, and present research findings with the broader community.
• Explore fundamental challenges for Conversational AI, NLP, Deep Learning, and Data Science and make breakthroughs.
• Work closely with, and incorporate feedback from other scientists, engineers, and product managers.
• Participate in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity.
• Contribute to and inspire the Conversational AI, NLP, and Data Science technology roadmap at Qualtrics.

Basic Qualifications

• Enrolled in a Masters or PhD degree in Computer Science or related fields
• Solid understanding of machine learning fundamentals and tool ecosystem
• Experience in academic or industrial research in machine learning, NLP, information retrieval, deep learning or a related field.
• Deep learning implementation expertise (PyTorch, TensorFlow, MXNet, etc.).
• Excellent communication, writing and presentation skills.
• Excellent command of at least one modern programming language (preferably Python)
• Dynamic problem solving ability.

Preferred Qualifications

• Deep understanding of machine learning model life cycle management
• Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
• Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
• Experience with managing, processing and analyzing large, complex, multi-modal and unstructured datasets
• Comfortable working in a fast paced, highly collaborative, dynamic work environment.
• Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc).
• Strong publication record in top-tier NLP and ML conferences (e.g. ACL, EMNLP, NeurIPS, ICML, SIGIR, ICLR, etc.).

What Differentiates Us From Other Companies

• Work life integration is deeply important to us - we have frequent office events, team outings, and happy hours
• We take pride in our office design aiming at fostering creativity from our rooftop views to an open and collaborative work space.
• To learn more about what we value read about it directly from our employees Qualtrics Life stories