Master's University Grad Machine Learning Engineer 2027 (USA)
Core
Build personalized experiences and large-scale recommendation systems for Pinterest's discovery, ads, search, and notification features.
Role type
Machine Learning Engineer (Entry-level / Master's grad)
Builds
Recommendation systems, ranking models, and engagement prediction models for push, email, and in-app notifications.
Domain
Social media / Recommendation systems / NLP / Graph representation learning
Deliverable
production ML models
Required skills
Machine Learning, Natural Language Processing, Graph analysis, Big data technologies (Hadoop/Spark), Systems programming (Java/C++/Python), ML frameworks (TensorFlow/PyTorch/MLFlow), Research experience
Preferred skills
AI-native engineering, Agent-friendly codebase design, Prompt engineering, Critical thinking with AI-generated suggestions
Technologies
Hadoop, Spark, TensorFlow, PyTorch, MLFlow, Java, C++, Python
Responsibilities
Design and build models to predict engagement for notifications; Build content recommendation systems; Scope and independently solve moderately complex problems; Write clean, efficient, and sustainable code; Collect, analyze, and synthesize findings from data to build intelligent data-driven models.
Seniority
Junior, Master's level
