Senior Machine Learning Engineer, Learner Modeling
Instructure, Inc.2 months ago
Budapest, HungarySenior
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
About Instructure, Inc.
Instructure builds Canvas, a cloud learning management system, along with tools for assessment, video learning, credentials, and analytics for K–12, higher education, and corporate training. It sells these products as SaaS subscriptions with related services. Founded in 2008 and headquartered in Salt Lake City, the company trades on the NYSE and expanded its credentials offering by acquiring Parchment in 2024.