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Responsibilities

  • Designing and building learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators
  • Shaping the data foundation for learner modeling by defining which signals matter and building the datasets the models depend on
  • Translating mastery and progression definitions into model targets and evaluation criteria, working with learning scientists and product partners
  • Building estimation and scoring approaches that hold up on sparse, noisy, and evolving behavioral data
  • Owning models in production including training and scoring pipelines, testing, versioning, and monitoring quality once live
  • Explaining 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, 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

  • HUF 1.5M – HUF 2.2M per month
  • Competitive compensation, plus all full-time employees participate in ownership program
  • Flexible work culture with remote, hybrid and in-office collaboration spaces varying by role, team and location
  • Generous time off including local holidays and annual “Dim the Lights” period in late December
  • 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

How to apply

You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
Jelentkezem a cégnél – Senior Machine Learning Engineer, Learner Modeling

Álláshirdetés jelentése
Jelentkezem a cégnél – Senior Machine Learning Engineer, Learner Modeling
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