Senior Machine Learning Engineer

Qualtrics is hiring a Senior Machine Learning Engineer in Seattle, WA to advance Machine Learning and Artificial Intelligence research and development. In this hybrid role, you will help personalize the Qualtrics experience by building scalable ML systems, productizing models, and partnering with product and technical stakeholders to deliver measurable customer value.

Within the Data Intelligence Center of Excellence (DICE), you will contribute to core machine learning infrastructure and services. The team focuses on accelerating Qualtrics ML adoption by providing a platform with reusable components, patterns, and standards so engineering teams can experiment, design, build, monitor, and troubleshoot ML-powered applications.

What you’ll do

• Collaborate with peers to prioritize features and deliver value with urgency.
• Develop scalable, robust, highly available micro services for statistical analysis and to build and deploy machine learning models.
• Implement new ML/AI features and optimize existing ones to improve customer outcomes.
• Apply pragmatic decision-making alongside technical excellence to address complex algorithmic challenges efficiently.
• Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models for a rapidly growing business.
• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex multi-modal data.
• Mentor teammates and lead collaborative projects to strengthen leadership and support junior engineers.
• Work closely with specialists, tech-ops, and product managers, incorporating feedback across teams.
• Participate in design reviews, architectural discussions, requirement definitions, and other technical activities.
• Prototype and test potential solutions quickly when tackling large problems.
• Stay current with industry trends and academic research to evaluate tools, frameworks, and modeling techniques.
• Attend daily stand-up meetings and coordinate with peers to maintain momentum on prioritized work.

What you bring

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

Technologies

• TensorFlow
• PyTorch
• Java
• C#
• Python

Compensation and location

• Location: Seattle, WA (hybrid)
• Base salary range: USD 177,500 – 216,000 per year
• Hybrid work model: In the office three days a week (Mondays and Thursdays, plus one additional day selected by your organizational leader), with the rest of the week worked where you want

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: MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development.
• Medical, dental, vision, life and disability.
• 401(k) with match.
• Paid time off.
• Wellness reimbursement.
• Mental health benefits.
• A sign-on bonus and restricted stock units may be included in an employment offer.

Washington State base annual pay transparency range: $177,500—$216,000 USD