Machine Learning Engineer
Core
Develop, deploy, and enhance machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies to guide students in career navigation.
Role type
Junior Machine Learning Engineer (Growth Relevance)
Builds
ML models and features for user engagement and marketplace metrics
Domain
EdTech + AI
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, TensorFlow, classification, regression, ranking, model evaluation, agentic workflows
Preferred skills
recommendations, personalization, NLP, deep learning, LLMs, explainable AI, experiment tracking, model monitoring, feature pipelines, cloud platforms (GCP, AWS, Azure)
Technologies
Python, scikit-learn, PyTorch, TensorFlow, GCP, AWS, Azure
Responsibilities
Develop and iterate on ML models influencing user experience; Partner with senior engineers and data scientists to improve product features; Grow technical depth in model development and production deployment
Seniority
Junior, mentored IC
