Software Engineer - NLP

Key Skills

Java Programming, Python Programming, Machine learning techniques, Natural Language Processing (NLP), NoSQL, TensorFlow, Scikit-learn, spaCy, Elasticsearch, PostgreSQL

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?

About the role:

As an NLP Software Engineer, you’ll apply methods from NLP and Machine Learning and to massive volumes of customer data. You’ll support and enhance a stack that includes morphological analysis, tagging, NER, parsing, keyword extraction, classification, information retrieval, and summarization. You’ll also work with multilingual data since we support 18 languages and are continually expanding.

The work has an R&D component but with a practical focus on applying methods from open source and the research literature to high-volume production pipelines. As such, you’ll need solid development skills in Java and Python with experience in software testing, integration, and deployment. You’ll work in a collaborative Agile/Scrum development environment where you’ll mentor junior team members and in turn receive mentorship from others.

About you:

We will consider candidates with industry experience and a demonstrated track record in NLP and Machine Learning. While we don’t expect any single person to be proficient in all of the areas below, a significant subset is needed:

• Advanced training in NLP and/or Machine Learning
• Proficiency in Java and/or Python (5+ years of experience)
• Tools and libraries: spaCy, sci-kit learn, fastText, word2vec, TensorFlow, SyntaxNet, TensorFlow Serving
• Data collection and management: scraping/munging, tagging/annotation, lexicons, curating training data for supervised learning
• Data repositories: relational and NoSQL databases (e.g. PostgreSQL, Elasticsearch)
• Microservices: e.g. Spring Boot, Flask, Protocol Buffers, GRPC
• Containerization and distributed computing: Docker, Kubernetes, Kafka