- Work in a supportive environment enables individual growth and achievement of team goals
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
- 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
- Stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
- 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
- Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
- 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 the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
- 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.
- 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.
- $1800 Experience bonus to be used for an “Experience” of your choosing
- Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more.
- 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.
For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.
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What We Do
Qualtrics is trusted by thousands of the world’s best organizations to power exceptional customer and employee experiences that build deep human connections, increase customer loyalty, boost employee engagement, and drive business success. Our advanced AI and specialized Experience Agents™ allow businesses and governments to proactively interact with customers and employees in personalized ways across every channel and touchpoint, respond in-the-moment to fix or improve experiences, and stay across the latest market trends and opportunities.
Our vision, as an organization, is to improve the human experience.
Why Work With Us
We're a place where strategic risks are encouraged & complex problems get solved together. Where nimble teams are empowered to set aggressive goals & move fast to win. A place that makes you feel safe as your authentic self. Where everyday work results in growth. And, most importantly, where what you do matters. That's why we work at Qualtrics.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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.
