PhD University Grad Machine Learning Engineer (USA)

📋 Description

• Contribute to cutting-edge research in machine learning and artificial intelligence that can be
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking
• Design, build, and test models to predict engagement for notifications (push, emails, in-app
• Build content recommendation systems to power our push, email, and in-app notifications

🎯 Requirements

• PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
• Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow
• Proficiency with AI-native engineering, including the design of agent-friendly codebases.
• High degree of autonomy in learning new agent-first development tools.

🎁 Benefits

• Equity
• Base salary range: $174,078 — $229,044 USD
• Pinterest culture and benefits available for this position
• Flexible collaboration style (hybrid/office based)
• Inclusive workplace