Senior Machine Learning Engineer

Qualtrics is seeking a Senior Machine Learning Engineer to strengthen Machine Learning and Artificial Intelligence R and D. The role supports personalization across the Qualtrics experience by building scalable ML systems and data pipelines, productizing models, and partnering with product and technical stakeholders to deliver measurable value.

Location and Work Model

Seattle, WA (hybrid)

Qualtrics uses a hybrid approach: team members gather in the office three days per week, with attendance on Mondays and Thursdays plus one additional day selected by your organizational leader. The remainder of the week is flexible.

Salary

USD 177,500 - 216,000 per year

This range reflects Washington State base annual pay transparency.

Responsibilities

• Collaborate with peers to prioritize features and deliver customer value with urgency.
• Develop scalable, robust, highly available microservices to run statistical analyses and build, deploy, and operationalize machine learning models.
• Implement new capabilities and optimize existing ones to improve the customer experience.
• Apply pragmatic decision-making to address complex algorithmic challenges while maintaining technical rigor.
• Work within a multi-disciplinary environment to implement, tune, and productize state-of-the-art machine learning models for a growing business.
• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex, multi-modal data.
• Mentor teammates and participate in collaborative projects to strengthen leadership and guide junior engineers.
• Partner with tech-ops and product managers, incorporating feedback from specialists and operational teams.
• Lead and contribute to design reviews, architectural discussions, and requirement definitions.
• Prototype and test approaches quickly when addressing large, ambiguous problems.
• Participate in daily stand-ups and coordinate execution with peers to keep delivery aligned.
• Stay current on industry trends and academic research to assess new tools, frameworks, and modeling techniques.

Requirements

• Bachelor’s degree in Computer Science or related fields.
• 5-8 years of experience as a Machine Learning Engineer, with a track record in designing, implementing, and optimizing machine learning models for real-world applications using frameworks such as TensorFlow or PyTorch.
• Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance.
• Programming experience with at least one modern language such as Java, C#, or Python, including object-oriented design.
• Experience delivering applied machine learning models and large-scale ML systems.
• Strong problem-solving and analytical skills, including the ability to decompose complex issues into actionable components.
• Excellent communication and collaboration skills for cross-functional teamwork.

Technologies

• TensorFlow
• PyTorch
• Java
• C#
• Python

Benefits

• Wellness reimbursement of $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and more.
• Unlimited sick days.
• Amazing QGroup Communities including MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development.
• Medical, dental, vision, life, and disability insurance.
• 401(k) with match.
• Paid time off.
• Wellness reimbursement.
• Mental health benefits.
• Sign-on bonus and restricted stock units may be included in an offer.

Team Overview

The Data Intelligence Center of Excellence (DICE) provides AI/ML research and development services for all product lines. The organization builds core machine learning infrastructure and services, with a goal to accelerate Qualtrics ML adoption by enabling engineering teams to experiment, design, build, monitor, and troubleshoot ML-powered applications using a platform of reusable components, patterns, and standards.

The team integrates advanced intelligence into everyday user experiences through close collaboration with product and engineering partners.

Education

Bachelor’s degree in Computer Science or related fields