Staff Machine Learning Engineer

The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-11-05

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.
• 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, and mental health benefits. For a detailed look at our benefits, visit Qualtrics US Benefits.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Qualtrics Jobs in Washington Jobs in Seattle, WA Seattle city guide Washington state guide King County economy

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About the role

This is a — role in the Technology field (Data, analytics and AI) at Qualtrics.

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How to prepare and behave

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• Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
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• Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
• Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
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• Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

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The city

The job is in Seattle, WA. Below is what the official statistics say about living and working there.

How Seattle compares. Among the 80 largest places in Washington, Seattle is #1 by population, #76 for homeownership (#1 = highest), #8 for college degrees (#1 = most), #8 for remote work (#1 = most). Its county, King County, is #1 of 39 counties for average pay ($132,279).

The place in numbers

Seattle has 754,195 residents (ACS 2020–2024), about 9.6% of the population of Washington. It covers 84 square miles of land, which works out to roughly 8,979 people per square mile. The median age is 35.6, 7% younger than the state median (35.6 against 38.3).

Housing

The median gross rent is $2,030 a month (rent plus utilities), 15% above the state median ($2,030 against $1,760). Over a year that is 19.7% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $938,600, which is 7.6 times the median household income ($123,860); a ratio above 5 usually means buying is out of reach without savings or a second income. 43.7% of households own their home, 31% below the state average (43.7% against 63.8%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The Seattle-Tacoma-Bellevue, WA metropolitan area has 2,086,210 jobs in the BLS wage survey, and the median pay across all occupations is $72,610 a year, 42% above the national median ($72,610 against $50,980). The biggest occupation groups are office and administrative support (212,900 jobs, median $59,660); business and financial operations (201,160 jobs, median $101,950); computer and mathematical (194,970 jobs, median $156,000). The area is most specialised in computer and mathematical (2.8 times) and architecture and engineering (1.4 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($168,110) and computer and mathematical ($156,000). In 2026M09 the unemployment rate of King County was 4.8%. 74.0% of residents aged 16 and over are in the labour force. The city lies in King County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 36.6% drive alone, 11.9% use public transit, 8.1% walk, 34.8% work from home. 13.9% of workers commute 45 minutes or more, 18% below the state average (13.9% against 16.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

68.5% of adults aged 25 and over hold a bachelor's degree or higher, 73% above the state share (68.5% against 39.6%). 20.1% of residents were born outside the United States, 31% above the state share (20.1% against 15.4%). The poverty rate is 9.9%, about the same as the state rate (9.9% against 9.9%).

Climate

The warmest month is Aug, averaging 65°F (18.3°C), and the coolest is Dec at 39°F (3.8°C). About 1,230 mm (48 inches) of precipitation falls in a year; Nov is the wettest month (188 mm) and Jul the driest (19 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Mercer Island (7 miles, rent 23% higher); Bainbridge Island (7 miles, rent 8% higher); Kirkland (9 miles, rent 18% higher); Bellevue (9 miles, rent 27% higher). Rent differences are against Seattle; use the Compare tab to put any two cities side by side.

Full guide to Seattle →Washington guideAll jobs in Seattle

Official links for Seattle

• Official website of Seattle: seattle.gov
• Census Bureau data profile for Seattle
• Official state website: wa.gov
• BLS Economy at a Glance: Washington

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Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of Seattle, WA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (713) Software engineering (4089) Cloud, IT and infrastructure (1040) Product management (836)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far Seattle, WA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Nearby cities with open jobs (within 120 miles)

The employer

Qualtrics is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at Qualtrics

Similar jobs

Same sub-niche: Data, analytics and AI

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FAQ

What is the Staff Machine Learning Engineer job at Qualtrics?

A private-sector role in technology (data, analytics and ai) listed 4 days ago. The full description is on this page and on the employer's page.

Where is this job?

Seattle, WA.

How do I apply?

Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Seattle is $2,030 a month and median household income $123,860 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-11-05 (4 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in Washington.

Sources and terms

• Job data: Qualtrics careers page public feed (listing dated 2026-11-05). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)