Senior Machine Learning Engineer

Qualtrics
Seattle
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5-8 yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Leadership"]

Senior ML Engineer responsible for advancing ML/AI R&D strategy, building scalable machine-learning systems and data pipelines, and deploying ML-powered features across the Qualtrics platform. Works within the Data Intelligence Center of Excellence (DICE) to accelerate ML adoption, collaborating with product, engineering, and tech-ops teams to deliver robust, scalable solutions in a hybrid Seattle office.

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FursaFursa
Qualtrics
Qualtrics
1 month ago

Senior Machine Learning Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Senior ML Engineer responsible for advancing ML/AI R&D strategy, building scalable machine-learning systems and data pipelines, and deploying ML-powered features across the Qualtrics platform. Works within the Data Intelligence Center of Excellence (DICE) to accelerate ML adoption, collaborating with product, engineering, and tech-ops teams to deliver robust, scalable solutions in a hybrid Seattle office.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop scalable, robust, and highly available microservices to perform simple to complex statistical analyses and build/deploy machine learning models.
  • •Implement new features and optimize existing ones to delight our customers.
  • •Lead design reviews, architectural discussions, and technical activities in diverse capacity.
  • •Attend daily stand-up meetings, collaborate with peers, prioritise features, and deliver value to customers.
  • •Stay up-to-date with industry trends and academic research to evaluate new tools, frameworks, and modeling techniques.

Pay and Benefits

Perks:Annual BonusHealth Insurance401k

Key Requirements

  • •Bachelor’s degree in Computer Science or related field.
  • •5-8 years of experience as a Machine Learning Engineer, with TensorFlow or PyTorch.
  • •Strong CS fundamentals in algorithm design, complexity analysis, and performance.
  • •Experience programming in Java, C# or Python with object‑oriented design.
  • •Experience with applied ML models and large-scale ML systems.
Experience:5-8 yearsMachine learningAIData pipelines
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingLeadership
Languages:English
Tech Stack:PythonJavaC#TensorFlowPyTorchOO designSQL

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