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

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