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Responsibilities

  • Design and build learner models including knowledge tracing and longitudinal approaches
  • Shape the data foundation for learner modeling including 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
  • 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