# Senior Machine Learning Engineer, Learner Modeling at Instructure

Instructure is hiring a Senior Machine Learning Engineer, Learner Modeling for a remote role open to applicants in Hungary. Level rates it Builds AI ●●●●; you can [apply on Instructure](https://jobsbylevel.com/go/005e65bc-bae4-491e-8336-8aec601b56dc?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Remote (Budapest, Hungary).

## Details

- Company: [Instructure](https://jobsbylevel.com/companies/instructure)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Remote (Budapest, Hungary)
- Posted: August 24, 2026
- Apply: https://jobsbylevel.com/go/005e65bc-bae4-491e-8336-8aec601b56dc?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-machine-learning-engineer-learner-modeling-at-instructure-ebbcea

## Prepare for this job

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## Description

At Instructure , we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day. We're looking for a Senior Machine Learning Engineer to build and own the learner models behind our mastery and progression capabilities. You'll design the models, build the pipelines that train and score them, and own their quality once they're running in production. You'll partner with our learning scientists on what these models should measure, and with our infrastructure team on deployment and operations. What You'll Do Design and build learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators Shape the data foundation for learner modeling: define which signals matter, and build the datasets your models depend on Translate mastery and progression definitions into model targets and evaluation criteria, working with learning scientists and product partners Build estimation and scoring approaches that hold up on sparse, noisy, and evolving behavioral data Own your models in production: training and scoring pipelines, testing, versioning, and monitoring quality once they're live Explain model behavior, assumptions, and limitations clearly to product, engineering, and learning partners What You'll Need Six or more years in applied machine learning, machine learning engineering, or applied research, with ownership of models shipped into real products Depth in at least one of: sequence modeling, latent-variable or probabilistic modeling, temporal modeling, Bayesian methods, or calibration of model outputs, applied to data that changes over time Strong Python and production engineering skills: you write the pipelines that train and score your models, and you've shipped models that run on a schedule and serve predictions to real users Strong evaluation instincts around calibration, uncertainty, stability, fairness, interpretability, and validation strategy It Would Be a Bonus If You Had Experience with recommender systems, user-state modeling, or personalization at scale Experience with knowledge tracing, psychometrics, educational measurement, or adaptive learning systems Experience combining structured knowledge representations, such as skills, standards, or concept graphs, with learner models Experience designing experiments or observational validation strategies to test whether a model reflects reality Onsite Collaboration Requirement: This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model. Why Join Us Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities. At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology. We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While

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Source: https://jobsbylevel.com/jobs/senior-machine-learning-engineer-learner-modeling-at-instructure-ebbcea

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