Qualtrics
Machine Learning Engineer II
Seattle, Washington, United States · Mid · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$7,095 more — $174,595 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $174,595 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Seattle-Tacoma-Bellevue, WA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card intent detected
Green-card follow-through: 100%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
- Join over 5,000 people across the globe who think that's work worth doing.
Responsibilities
- Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
- Implement new features and optimize existing ones to delight our customers
- Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- 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
- 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
- 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.
Requirements
- Bachelor's degree in Computer Science or related fields.
Nice to have
- Mondays and Thursdays, plus one day selected by your organizational leader.
Compensation
- 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.
Benefits
- Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
- 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
- Experience with applied machine learning models and large-scale ML systems
- This team builds core machine learning infrastructure and services.
- $1800 Experience bonus to be used for an "Experience" of your choosing
Company info
- But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally.
- 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.
- Machine Learning Engineer II Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level.
This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.