Senior Machine Learning Engineer, Learner Modeling
Tasks
- Build training and scoring pipelines
- Define data foundation for learner modeling
- Design learner models
- Develop estimation and scoring for behavioral data
- Explain model behavior and limitations
- Monitor model performance and quality
- Own model quality in production
- Translate learning definitions into model targets
Perks/Benefits
- Employee recognition program
- Flexible work culture
- Generous time off
- Hack weeks
- Internal conferences
- Learning and development resources
- Mental health support
- Mentorship
- Onsite collaboration Tuesday and Wednesday
- Professional development resources
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
Bayesian Methods | Calibration | Data Pipelines | Fairness | Interpretability | Knowledge Tracing | Latent variable models | Learning operations | Machine Learning | Machine Learning Operations | Model Evaluation | Monitoring | Probabilistic Modeling | Python | Sequence Modeling | Temporal modeling | Uncertainty Estimation | Validation | Version control
Education
N/A
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