CareerPlan

PhD University Grad Machine Learning Engineer (USA)

San FranciscoFull-time$174k2026-10-02 → 2026-11-10
Hybrid

Core

PhD-level Machine Learning Engineer building large-scale recommendation systems, search, and ranking models for Pinterest's discovery and ads products.

Role type

Senior IC Machine Learning Engineer (Research & Engineering)

Builds

Large-scale recommendation systems, search, ranking, and NLP models for discovery, ads, and notifications.

Domain

Social Media / Recommendation Systems / NLP / Graph Learning

Deliverable

production ML models

Required skills

PhD in CS/ML/NLP/Statistics, Machine Learning (ranking, CV, NLP, embeddings), Big Data (Hadoop/Spark), Systems languages (Java/C++/Python) or ML frameworks (TensorFlow/PyTorch), AI-native engineering, Critical thinking with AI tools

Preferred skills

Publications in ML/AI, Research experience, Interest in applying ML to real-world problems

Technologies

Hadoop, Spark, TensorFlow, PyTorch, MLFlow, Java, C++, Python

Responsibilities

Contribute to cutting-edge ML research, collect and synthesize data findings, write efficient code, design and test models for engagement prediction, build content recommendation systems, solve moderately complex problems independently

Seniority

PhD level, Senior IC