Machine Learning Engineer
Core
Develop and iterate on machine learning models and features for lifecycle optimization, notifications, and monetization.
Role type
Machine Learning Engineer
Builds
ML models and features for lifecycle optimization, notifications, and monetization
Domain
Technology / Machine Learning
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, TensorFlow, agentic workflows, classification, regression, ranking, model evaluation
Preferred skills
recommendations, personalization, NLP, deep learning, LLMs, explainable AI, experiment tracking, model monitoring, feature pipelines, cloud platforms
Technologies
Python, scikit-learn, PyTorch, TensorFlow
Responsibilities
Develop and iterate on machine learning models and features; Collaborate with senior engineers, data scientists, and product managers; Work on embedding-based retrieval, Graph Neural Networks, multi-stage ranking systems, experimentation, and production deployment; Contribute to responsible AI practices involving explainability, fairness, and quality
Seniority
Junior to Mid-level (1–3 years experience)
