Senior Machine Learning Engineer

Qualtrics • Seattle, WA

11h • $203,500 - $267,000 • 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 an engineer to bring our Machine Learning and Artificial Intelligence R&D 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. You should love building simple solutions to solve hard customer problems. Crafting systems 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! You will work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business. You will build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data. You will take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members. The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services. The team's goal is to accelerate Qualtrics's ML adoption by enabling every engineering team to experiment, design, build, monitor, and troubleshoot ML-powered applications with a Platform that applies reusable components, patterns, and standards/best practices. Through close collaboration with product and engineering teams, we seamlessly integrate advanced intelligence into everyday user experiences.

Requirements

• Bachelor’s degree in Computer Science or related fields.
• 5-8 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.
• Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
• Experience in programming with at least one modern programming 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, with the ability to break down complex problems into actionable components.
• Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.

Responsibilities

• Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
• Implement new features and optimize existing ones to delight our customers
• Balance technical excellence with pragmatic decision-making to solve complex algorithmic challenges efficiently
• Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
• Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
• Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
• Finding quick ways to prototype and test possible solutions to large problems
• Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques.

Benefits

• $1800 Experience bonus to be used for an “Experience” of your choosing
• Unlimited Sick Days
• 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: Senior