Senior Machine Learning Engineer

Qualtrics is hiring a Senior Machine Learning Engineer (hybrid) to advance ML and AI R&D and help personalize the Qualtrics experience using ML/AI features.

Responsibilities

• Collaborate with peers to prioritize features and deliver customer value with urgency
• Design scalable, robust, highly available microservices for statistical analysis and for building and deploying machine learning models
• Implement new capabilities and optimize existing ones to improve customer experience
• Apply pragmatic decision-making to solve complex algorithmic challenges efficiently
• Work in a multi-disciplinary environment to implement, tune, and productize cutting-edge ML models for a rapidly growing business
• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data
• Mentor others and lead collaborative projects to strengthen leadership and guide junior team members
• Partner with specialists, tech-ops, and product managers, incorporating feedback into delivered outcomes
• Lead and participate in design reviews, architectural discussions, and requirement definitions
• Prototype and test approaches quickly for large, complex problems
• Stay current with industry trends and academic research to assess new tools, frameworks, and modeling techniques
• Attend daily stand-up meetings and coordinate with peers to prioritize work and deliver value to customers

Requirements

• Bachelor’s degree in Computer Science or related fields
• 5 to 8 years of experience as a Machine Learning Engineer with a record of designing, implementing, and optimizing ML 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 in at least one modern language such as Java, C#, or Python, including object-oriented design
• Experience with applied machine learning models and large-scale ML systems
• Excellent problem-solving and analytical skills, including breaking down complex problems into actionable components
• Strong communication and collaboration skills for cross-functional teamwork

Technologies

• TensorFlow
• PyTorch
• Java
• C#
• Python

Benefits

• Wellness reimbursement: $300 per quarter for wellness activities (gym memberships, spa massages, workout equipment, meditation apps, and more)
• Unlimited sick days
• QGroup communities including 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
• Sign-on bonus and restricted stock units may be included in an offer

Team & Mission

• Data Intelligence Center of Excellence (DICE) provides AI/ML research and development services across product lines
• Builds core machine learning infrastructure and services
• Accelerates Qualtrics ML adoption by enabling engineering teams to experiment, design, build, monitor, and troubleshoot ML-powered applications using a platform with reusable components, patterns, and standards/best practices
• Integrates advanced intelligence into everyday user experiences through close collaboration with product and engineering teams

Hybrid Work Model

• In-office: three days per week (Mondays and Thursdays, plus one additional day selected by your organizational leader)
• Other days: work where you want and own integration of work and life

Location: Seattle, WA (hybrid)

Annual Salary Range: USD 177,500 - 216,000

Base Pay Transparency (Washington State): $177,500 - $216,000 USD

Minimum Experience: 5 years