---
title: 'Staff Machine Learning Engineer, Foundation - Seattle at Qualtrics'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-foundation-seattle-qualtrics-seattle-washington-5btk8jgnj27z'
type: 'job'
last_seen: '2026-09-08'
---

# Staff Machine Learning Engineer, Foundation - Seattle at Qualtrics

- **Company:** Qualtrics
- **Location:** Seattle Washington, United States
- **Compensation:** $208k–$299k
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-08
- **Apply:** https://www.qualtrics.com/careers/us/en/job/8017523?gh_jid=8017523

## Job description

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. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

Staff Machine Learning Engineer, Foundation - Seattle

## Why We Have This Role

We are looking for an experienced Machine Learning 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. We aim to enhance our capabilities in developing and maintaining high-performance systems that can effectively handle large volumes of data and complex algorithms. This role will be pivotal in driving innovation and ensuring our machine learning initiatives support our mission of closing experience gaps across various domains.

## How You’ll Find Success

- Working in a supportive environment enables individual growth and the achievement of team goals.
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers.
- It will be crucial to stay on top of technology trends and educate leadership and stakeholders on trends, and North Star initiatives.
- Analyze and enhance ML systems for better performance and efficiency.
- Develop creative solutions to improve our ML infrastructure and scalability

## How You'll Grow

- Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.
- Take on mentorship roles and collaborative projects to refine your leadership skills and guide junior team members.
- Gain insights into different areas of the business by collaborating with various teams, enriching your understanding of how technology impacts overall company strategy.

Things You’ll Do

- Design and develop robust AI architectures, frameworks, and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives.
- Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability.
- Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production.
- Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
- Work closely with research scientists and model engineering teams on developing, and deploying, ML systems in production. Develop a strategy for optimizing models and systems for performance, scalability, efficiency, and cost.
- Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning.
- Conduct regular code reviews and provide technical guidance to team members.
- Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.

## What We’re Looking For On Your Resume

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience (7+ years) working as a Machine Learning Engineer, or related role.
- Proficiency in programming languages such as Python, Java, or C++, and popular AI libraries and frameworks (e.g. TensorFlow, PyTorch, Keras).
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
- 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.
- Ability to stay updated with the latest AI technologies, frameworks, and platform advancements.
- Knowledge of deploying and optimizing LLMS with open-source frameworks like DeepSpeed, Accelerate, FasterTransformer, and Transformers-NeuronX libraries is a plus.
- Knowledge of ethical considerations and responsible AI practices is a plus.

## What You Should Know About This Team

- The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.
- This role will specifically be on the Data Intelligence Platform (DIP) team which works on building services and tools that enable ML and intelligence across multiple products.
- The DIP 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.

## Our Team’s Favorite Perks and Benefits

- Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more.
- $1800 yearly Experience bonus to be used for an “Experience” of your choosing
- 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. #hybrid

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

​​​​​

Applicants in the United States of America have rights under Federal Employment Laws: [Family & Medical Leave Act](https://www.dol.gov/agencies/whd/posters/fmla),[Equal Opportunity Employment](https://www.eeoc.gov/poster),[Employee Polygraph Protection Act](https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act)

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

#AI 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](https://www.qualtrics.com/careers/us/en/us-benefits).

Washington State Base Annual Pay Transparency Range $208,000—$298,500 USD

## About Qualtrics

## Company Overview
- **One-liner**: Qualtrics provides a cloud-based Experience Management (XM) platform that helps organizations collect, analyze, and act on feedback from customers, employees, and other stakeholders to close experience gaps.
- **Entity Type**: Private (taken private by Silver Lake and CPP Investments in 2023; no ticker)
- **Headquarters**: Provo, Utah, USA (with 20 offices across 5 continents)
- **Founded**: 2002
- **Founders**: Ryan Smith, Jared Smith, and others (not explicitly named in provided sources)

## Core Business
- **Primary industry**: Experience Management (XM) software, encompassing Customer Experience (CX), Employee Experience (EX), Product Experience (PX), and Brand Experience.
- **Target customers**: B2B – Global enterprises, healthcare systems, governments, and mid-market organizations.
- **Mission/purpose**: “Build technology that closes experience gaps.” [qualtrics.com/about](https://www.qualtrics.com/about/)

## Products & Services
- **Qualtrics XM Platform (SaaS)**: The core platform for listening, understanding, and acting on experience signals across surveys, calls, digital interactions, and service touchpoints. Includes automated text analytics, predictive insights, and connected intelligence. [qualtrics.com](https://www.qualtrics.com/)
- **Experience Agents**: AI-powered agents that support teams or step in within guardrails to automate responses and drive action in real time.
- **Employee Experience (EX)**: Tools for measuring and improving employee engagement, including the EX25 methodology and internal feedback programs.
- **Customer Experience (CX)**: Solutions for managing customer feedback, reducing churn, and increasing loyalty.
- **Product Experience (PX)**: Product analytics and user research capabilities, including synthetic audiences for quick-turn research.
- **Contact Center Solution**: Integrated voice-of-the-customer capabilities for service interactions.
- **XM for IT**: Internal program used by Qualtrics to align IT experience with business outcomes.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company since 2023)
- **Key Metric**: Over 20,000 organizations worldwide rely on Qualtrics, including 98% of the Fortune 100 (implied by industry context). [qualtrics.com](https://www.qualtrics.com/)
- **Notable Investors/Partners**: Silver Lake and CPP Investments (as part of the 2023 take-private deal); also partnered with the NBA’s Utah Jazz for the “5 For The Fight” charity jersey patch.
- **Growth Signals**: Continued market leadership in the XM category; expansion of AI capabilities (Experience Agents); acquisition of Press Ganey Forsta to expand the human experience management AI & data platform. [qualtrics.com/careers](https://www.qualtrics.com/careers/)

## Competitive Advantages
- **Category Creator & Market Leader**: Qualtrics defined and continues to command the Experience Management market.
- **World’s Largest Collection of Human Sentiment Data**: Enables deeper AI training and predictive insights.
- **Trust & Security**: “Trust is not a feature. It’s our track record.” – tested against the toughest security standards, trusted by global enterprises, healthcare, and governments. [qualtrics.com](https://www.qualtrics.com/)
- **Integrated Platform**: Combines CX, EX, PX, and brand data in a single system, unlike disconnected point solutions.
- **Customer Obsession**: Core value “Customer Obsessed” – mistakes are viewed as opportunities to grow, and the team goes above and beyond for customers. [qualtrics.com/about](https://www.qualtrics.com/about/)

## Strategic Focus
- **AI & Automation**: Scaling “Experience Agents” to automate actions and recommendations at scale.
- **Connected Intelligence**: Breaking down silos between experience signals (surveys, calls, digital) to deliver unified insights.
- **Market Leadership**: Continuing to lead the XM category through innovation and acquisitions (e.g., Press Ganey Forsta).
- **Employee Experience as a Product**: Using their own EX product internally to gather feedback and continuously improve benefits and culture.

## Why Work Here
- **Culture & Values**: Known for “TACOS” values – Transparent, All-In, Customer Obsessed, One Team, Scrappy. Emphasis on ownership, impact, and continuous improvement. [qualtrics.com/about](https://www.qualtrics.com/about/)
- **Growth & Development**: Mentorship programs, career action plans, internal mobility, leadership development, and the “proving ground” philosophy where employees use Qualtrics products first. [qualtrics.com/careers](https://www.qualtrics.com/careers/)
- **Hybrid Work Model**: Most employees work in the office 3 days a week; offices feature quiet areas, video-enabled rooms, coffee bars, brew pubs, wellness centers, and dog-friendly spaces. [qualtrics.com/careers/us/en/benefits](https://www.qualtrics.com/careers/us/en/benefits)
- **Benefits**: Wellness reimbursement ($1,200/year), mental health coaching, adoption/surrogacy support up to $10,000, $1,800 annual Experience Bonus for personal experiences, 2 weeks “work from anywhere” policy, and comprehensive family support. [qualtrics.com/careers/us/en/benefits](https://www.qualtrics.com/careers/us/en/benefits)
- **Inclusion & Community**: Employee resource groups (Q Groups) for racial/ethnic minorities, women, LGBTQIA+, veterans, people with disabilities, and environmental sustainability. [qualtrics.com/careers](https://www.qualtrics.com/careers/)
- **Social Impact**: “5 For The Fight” movement raising funds for cancer research; the company donates its Utah Jazz jersey patch to this cause.

## Sources
1. [Qualtrics About Page](https://www.qualtrics.com/about/)
2. [Qualtrics Careers Page](https://www.qualtrics.com/careers/)
3. [Qualtrics Benefits Page](https://www.qualtrics.com/careers/us/en/benefits)
4. [Qualtrics Homepage](https://www.qualtrics.com/)

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