Staff Machine Learning Engineer, Foundation - Seattle

Qualtrics
Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Python","Java","C++","TensorFlow","PyTorch","Keras","AWS","Azure","Google Cloud"]

Join the Data Intelligence Platform to design, build, and deploy scalable ML architectures and services for enterprise SaaS at Qualtrics. You’ll influence ML strategy, supervise platform work, and ensure production-grade performance, scalability, and cost-efficiency across large data volumes, collaborating with researchers, product managers, and engineers to close experience gaps across domains.

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FursaFursa
Qualtrics
Qualtrics
2 months ago

Staff Machine Learning Engineer, Foundation - Seattle

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Join the Data Intelligence Platform to design, build, and deploy scalable ML architectures and services for enterprise SaaS at Qualtrics. You’ll influence ML strategy, supervise platform work, and ensure production-grade performance, scalability, and cost-efficiency across large data volumes, collaborating with researchers, product managers, and engineers to close experience gaps across domains.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and develop AI architectures, frameworks, and algorithms to support large-scale enterprise SaaS AI solutions.
  • •Evaluate and select AI technologies, tools, and frameworks to achieve performance, accuracy, and scalability.
  • •Collaborate across teams to guide the direction of ML at Qualtrics from research to production.
  • •Lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.
  • •Work with researchers and model engineering teams to deploy ML systems in production and optimize for performance, scalability, efficiency, and cost.

Pay and Benefits

Perks:Wellness StipendAnnual Bonus401k

Key Requirements

  • •7+ years of experience as a Machine Learning Engineer or related role.
  • •Bachelor’s or Master’s degree in Computer Science, AI, or related field.
  • •Proficiency in Python, Java, or C++, and AI libraries/frameworks (TensorFlow, PyTorch, Keras).
  • •Strong understanding of cloud platforms (AWS, Azure, Google Cloud) with experience deploying AI models.
  • •Excellent problem-solving, analytical skills, and ability to collaborate across cross-functional teams.
Experience:7+ yearsEnterprise SaaSAI/MLCloud
Education:Bachelor's
Skills:PythonJavaC++TensorFlowPyTorchKerasAWSAzureGoogle Cloud
Languages:English
Tech Stack:PythonJavaC++TensorFlowPyTorchKerasAWSAzureGCP

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