Qualtrics

Qualtrics

Staff Applied Scientist

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

Sponsorship not specified$244k-$320kDetected 42 days ago
PythonAlgorithmsCI/CDRESTMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionLLMsAgentic AIA/B TestingTest AutomationResearchLeadershipCommunicationCollaborationProblem Solving

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.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$123,3021 entry
Level II$163,0722 entries
Level III$202,8623 entries
Level IV$242,6324 entries

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

DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · 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 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

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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

  • Develop and optimize algorithms for building scalable and efficient GenAI applications.
  • Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
  • Design and execute sophisticated evaluation strategies for agentic systems, including defining rubric-based success criteria, multi-turn conversation simulation, and implementing LLM-as-a-judge frameworks.
  • Passion for leveraging cutting-edge AI technology to create innovative GenAI applications that have a meaningful impact on businesses, industries, and society.
  • Commitment to developing GenAI applications that adhere to ethical standards and promote positive societal impact while minimizing potential risks.
  • Drive to push the boundaries of what's possible with AI, and to contribute to the advancement of the field through research, experimentation, and collaboration.
  • Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity
  • Mentor and grow junior scientists, drive best practices for experimentation, reproducibility, monitoring and lifecycle management, and ensure models are reliable, scalable and impactful in production

Requirements

  • Proven track record in evaluating complex, multi-turn agentic systems.
  • Deep experience with observability tools, evaluating tool-use reliability, and implementing systematic benchmarking in CI/CD pipelines.

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

  • Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning.
  • Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems.
  • Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
  • Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business
  • Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community
  • 7+ years of industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
  • Deep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)
  • Deep understanding of machine learning model life cycle management
  • Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
  • Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)

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 Applied Scientist Why We Have This Role We are looking for a talented and innovative Staff Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D and strategy to the next level.
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This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.