Qualtrics

Qualtrics

Senior Applied Scientist

Reston, Virginia, United States · Senior

Sponsorship not specifiedDetected 6 days ago
PythonAlgorithmsCI/CDRESTMachine LearningDeep LearningTensorFlowPyTorchNLPLLMsAgentic AIA/B TestingTest AutomationResearchLeadershipCommunicationCollaborationProblem Solving

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 AI applications.
  • Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation.
  • Design and execute evaluation strategies for agentic systems, including rubric-based success criteria, multi-turn conversation simulation, and LLM-as-a-judge frameworks.
  • Passion for leveraging cutting-edge AI technology to create innovative applications that have a meaningful impact on businesses, industries, and society.
  • Commitment to developing AI 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.
  • ​​​​​​​Applicants in the

Benefits

  • Leverage your deep knowledge of AI principles, including machine learning, natural language processing, 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.
  • 2+ years of post graduate 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

  • Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act
  • Qualtrics is committed to the inclusion of all qualified individuals.
  • As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations.
  • If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.
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This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.