Applied Scientist II

Qualtrics • Seattle, WA

15h • $167,500 - $220,000 • Hybrid

About The Position

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. We are looking for talented and innovative Applied Scientist to bring our Core AI 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 an Applied Scientist 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!

Requirements

• Bachelors and Ph.D in Computer Science or related fields
• Solid understanding of machine learning fundamentals and tool ecosystem
• 3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
• Experience with Agentic AI systems, including design, development, and rigorous evaluation of agent performance.
• Deep learning implementation expertise (TensorFlow, PyTorch etc)
• Excellent command of at least one modern programming language (preferably Python)
• 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
• 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)

Nice To Haves

• Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)

Responsibilities

• Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.
• Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain 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
• Work closely with, and incorporate feedback from other specialists, engineers, and product managers
• Lead and engage 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.
• Design, build, and evaluate Agentic AI systems to solve complex customer challenges.

Benefits

• $1800 Experience bonus to be used for an “Experience” of your choosing
• QMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.
• The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.
• medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree