# Senior Machine Learning Engineer, Learner Modeling

**Company**: Instructure
**Location**: Budapest
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/instructure/b2b13fea-9818-4ced-985c-8292547c7354?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_460a659e-c95

## Description

At Instructure, we believe in the power of people to grow and succeed throughout their lives.

Our AI team applies advanced AI to real problems in learning, turning research into product capabilities used by educators and students daily.

We're looking for a Senior Machine Learning Engineer to build and own learner models behind our mastery and progression capabilities.

**Responsibilities**

- Design and build learner models, including knowledge tracing and longitudinal approaches

- Shape the data foundation for learner modeling

- Translate mastery and progression definitions into model targets and evaluation criteria

- Build estimation and scoring approaches that hold up on sparse, noisy, and evolving behavioral data

- Own models in production

- Explain model behavior, assumptions, and limitations clearly to product, engineering, and learning partners

**Requirements**

- Six or more years in applied machine learning, machine learning engineering, or applied research

- Depth in at least one of: sequence modeling, latent-variable or probabilistic modeling, temporal modeling, Bayesian methods, or calibration of model outputs

- Strong Python and production engineering skills

- Strong evaluation instincts around calibration, uncertainty, stability, fairness, interpretability, and validation strategy

**Nice to Have**

- 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 with learner models

- Experience designing experiments or observational validation strategies

**Benefits**

- Competitive compensation

- Flexible work culture

- Generous time off

- Comprehensive wellness programs and mental health support

- Learning and development resources

- Technology and tools needed to do best work

- Motivosity employee recognition program

## Skills

### Required
- Python
- machine learning
- sequence modeling
- latent-variable modeling
- probabilistic modeling
- temporal modeling
- Bayesian methods
- calibration of model outputs

### Nice to have
- recommender systems
- user-state modeling
- personalization at scale
- knowledge tracing
- psychometrics
- educational measurement
- adaptive learning systems

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/instructure/b2b13fea-9818-4ced-985c-8292547c7354?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)