Qualtrics
Applied Scientist II
Reston, Virginia, United States · Mid · Full-time
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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
$10,610 more — $165,610 — 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 $165,610 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 "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · Washington-Arlington-Alexandria, DC-VA-MD-WV. 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
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.
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.
- 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
- Design, build, and evaluate Agentic AI systems to solve complex customer challenges.
Requirements
- Experience with Agentic AI systems, including design, development, and rigorous evaluation of agent performance.
- We conduct ML modeling with deep expertise and rigor, including model selection, training, fine-tuning, customization, explainability, and evaluation.
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.
- Address challenges in products through Large Language Models, Deep Learning and Data Science approaches and publish research papers.
- 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
- Solid understanding of machine learning fundamentals and tool ecosystem
- 3+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
- Deep learning implementation expertise (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.
- Applied Scientist II Why We Have This Role We are looking for talented and innovative Applied Scientist to bring our Core AI Machine Learning and Artificial Intelligence R&D and strategy to the next level.
This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.