CareerPlan

Senior AI Engineer, User Intelligence

Stockholm, SwedenFull-time2026-10-16 → 2026-11-10

Core

Build large-scale graph systems and dynamic analytics pipelines to model user relationships, behavioral patterns, and privacy-preserving insights.

Role type

Senior AI Engineer (Graph Machine Learning)

Builds

Production-grade graph neural network architectures, graph maintenance/serving pipelines, and privacy-preserving infrastructure.

Domain

Internet search, user intelligence, graph machine learning

Deliverable

production ML models

Required skills

Graph machine learning, graph neural networks (GNNs), spectral methods, graph embeddings, community detection, PyTorch Geometric/DGL, production system engineering

Preferred skills

PhD in graph ML/network science, research publications in dynamic networks, privacy-preserving techniques for behavioral data

Technologies

PyTorch Geometric, DGL

Responsibilities

Design and operate dynamic graph analytics pipelines for pattern detection; build efficient graph maintenance and serving pipelines; apply graph-based techniques to enterprise organizational scenarios

Seniority

Senior, hands-on IC