Remotely
pythonmachine learningrecommender systemsbayesian methodsknowledge tracingtemporal modeling
Job Description
📋 Description
- Senior Machine Learning Engineer to build learner models for mastery and progression
- Design models, train and score pipelines, production quality and monitoring
- Collaborate with learning scientists and infrastructure for deployment
🎯 Requirements
- Six+ years in applied ML/ML engineering or research
- Depth in sequence modeling, probabilistic modeling, temporal modeling, Bayesian methods, or
- Strong Python and production engineering skills, pipelines and serving predictions
- Strong evaluation instincts around calibration, uncertainty, stability, fairness, interpretability
🎁 Benefits
- Competitive compensation with ownership program
- Flexible work culture: remote, hybrid, in-office by location
- Generous time off and Dim the Lights period
- Wellness programs and mental health support
- Learning and development resources including tuition reimbursement
- Tools and collaboration culture to do your best work