Senior Applied Scientist

Qualtrics
United States
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Experience: 2+ yearsEducation: phdSkills: ["Communication","Writing","Presentation","Problem-solving","Leadership"]

Build and productize machine learning and AI features that personalize the Qualtrics experience using company data. Partner with application teams to research, implement, evaluate, optimize, and maintain scalable models, including generative and agentic systems. Lead design reviews and evaluation-driven development, mentoring junior scientists while ensuring reliability, reproducibility, monitoring, and lifecycle management in production.

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FursaFursa
Qualtrics
Qualtrics
2 months ago

Senior Applied Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 40 minutes agoStatus: Live

Job Summary

Build and productize machine learning and AI features that personalize the Qualtrics experience using company data. Partner with application teams to research, implement, evaluate, optimize, and maintain scalable models, including generative and agentic systems. Lead design reviews and evaluation-driven development, mentoring junior scientists while ensuring reliability, reproducibility, monitoring, and lifecycle management in production.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Research, implement, evaluate, optimize, productize, and maintain cutting-edge machine learning models for business needs.
  • •Develop and optimize algorithms for scalable and efficient AI applications, including generative model use cases.
  • •Design and execute evaluation strategies for agentic systems (e.g., multi-turn simulation and LLM-as-a-judge).
  • •Lead and participate in design reviews, modeling discussions, and requirement definitions with cross-functional teams.
  • •Mentor junior scientists and drive best practices for experimentation, reproducibility, monitoring, and model lifecycle management in production.

Pay and Benefits

Perks:Gym MembershipWellness StipendAnnual Bonus

Key Requirements

  • •Bachelors and Ph.D in Computer Science or related fields.
  • •2+ years of post graduate industrial research experience in machine learning, NLP, information retrieval, deep learning, or related areas.
  • •Deep learning implementation expertise using frameworks such as TensorFlow, PyTorch, or MxNet.
  • •Excellent communication, writing, and presentation skills for technical concepts.
  • •Strong programming skills (preferably Python) and demonstrated problem-solving ability.
Experience:2+ yearsMachine learningNLPInformation retrievalDeep learningAgentic systems
Education:PhD / Doctorate in Computer Science (or related fields)
Skills:CommunicationWritingPresentationProblem-solvingLeadership
Languages:English
Tech Stack:PythonTensorFlowPyTorchMxNetSageMakerMLflowLLMCI/CD

Company Brief

Qualtrics
Provides an experience management (XM) platform that helps organizations collect, analyze, and act on customer, employee, product, and brand experience data to improve business outcomes across functions.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Provo, United States
Founded: 2002
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn