Qualtrics

Qualtrics

Staff Machine Learning Engineer, Foundation - Seattle

Seattle, Washington, United States · Staff+ · Full-time

Sponsorship not specified$208k-$299kDetected 23 days ago
PythonJavaC++AlgorithmsCode ReviewAWSGCPAzureRESTMachine LearningTensorFlowPyTorchNLPLLMsProduct ManagementResearchLeadershipCommunicationCollaborationProblem SolvingMentoring

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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

Level IV · 4×
Level I$111,6131 entry
Level II$143,1042 entries
Level III$174,5953 entries
Level IV$206,0864 entries

This range already reaches Level IV — the maximum four lottery entries.

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

Context, not a finding about this posting: of this employer's 29 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Qualtrics, LLC obtained a prevailing wage determination for Software Developers in Seattle, WASHINGTON on 2026-06-09. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-06), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Green-card follow-through: 100%

Of 34 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 512 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.

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.

Community outcomes

No reports yet — be the first to help the next applicant.

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.
  • Develop creative solutions to improve our ML infrastructure and scalability
  • 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.
  • 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.
  • 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.

Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • 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.

Nice to have

  • 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.
  • 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

  • Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems.
  • Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production.
  • Proven experience (7+ years) working as a Machine Learning Engineer, or related role.
  • 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

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.
  • 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.
Apply directly at Qualtrics →Create a free account for alerts like thisView Qualtrics immigration profile

This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.