Instructure, Inc.

Senior Machine Learning Engineer, Learner Modeling

Instructure, Inc.
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3 hours ago
Budapest, HungarySenior
H1B Sponsor

Responsibilities

  • Design and build learner models, including knowledge-tracing and longitudinal models, for mastery and progression features.
  • Define relevant behavioral signals and build the data foundation and datasets used by learner models.
  • Translate mastery and progression definitions into model targets and evaluation criteria with learning scientists and product partners.
  • Develop estimation and scoring approaches for sparse, noisy, and evolving behavioral data.
  • Own production training and scoring pipelines, testing, versioning, and monitoring of model quality.
  • Communicate model behavior, assumptions, limitations, and evaluation findings to product, engineering, and learning partners.

Requirements

  • Six or more years of experience in applied machine learning, machine learning engineering, or applied research, including ownership of models shipped into real products.
  • Depth in sequence modeling, latent-variable or probabilistic modeling, temporal modeling, Bayesian methods, or model-output calibration applied to changing data.
  • Strong Python and production engineering skills, including building model training and scoring pipelines that run on schedules and serve predictions to users.
  • Strong evaluation skills covering calibration, uncertainty, stability, fairness, interpretability, and validation strategy.

Benefits

  • Competitive compensation and an ownership program for full-time employees.
  • Hybrid/in-person collaboration requiring onsite work Tuesday and Wednesday, with Thursday strongly encouraged.
  • Flexible remote, hybrid, and in-office collaboration spaces depending on the role, team, and location.
  • Generous time off, local holidays, and an annual late-December “Dim the Lights” period subject to departmental needs.
  • Comprehensive wellness programs and mental health support.
  • Learning and development resources, professional development tools, and tuition reimbursement.
  • Technology and tools to support the work, plus the Motivosity employee recognition program.

Tech Stack

Categories

Instructure, Inc.

About Instructure, Inc.

1,001-5,000 employees

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