Senior Machine Learning Engineer, Learner Modeling

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Instructure Hungary Kft.
Munkavégzés helye

Távmunka / Remote
Profession Prémium

Nézd meg, mennyire felelsz meg ennek az állásnak. Mennyire passzolok?

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON MACHINE LEARNING TESTING
Biztosított eszközök
- Laptop
Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Responsibilities

Design and build learner models including knowledge tracing and longitudinal approaches
Shape the data foundation for learner modeling by defining relevant signals and building datasets
Translate mastery and progression definitions into model targets and evaluation criteria
Build estimation and scoring approaches for sparse, noisy, and evolving behavioral data
Own models in production including training and scoring pipelines, testing, versioning, and monitoring quality
Explain model behavior, assumptions, and limitations to product, engineering, and learning partners

Requirements

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 including writing pipelines that train and score models and shipping models that run on a schedule and serve predictions to real users
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 such as skills, standards, or concept graphs with learner models
Experience designing experiments or observational validation strategies to test whether a model reflects reality

What we offer

Competitive compensation
Participation in ownership program for full-time employees
Flexible work culture with remote, hybrid, and in-office collaboration spaces
Generous time off including local holidays and annual "Dim the Lights" period
Comprehensive wellness programs and mental health support
Learning and development resources including professional development tools and tuition reimbursement
Technology and tools needed to do best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection

Company info

Instructure is a company that creates intuitive products to simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. The AI team applies advanced AI to real problems in learning and turns research into product capabilities used by educators and students every day.