Graph Neural Networks Jobs

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Plaid is seeking a Senior Research Scientist for its Fraud Data team. This role focuses on applied research to develop next-generation fraud detection models using advanced techniques like Graph Neural Networks and Transformer-based foundation models. You will partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. The team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. This position offers the opportunity to work with large-scale financial data and contribute to building tools that millions of people rely on for their financial health.

$229k - $315k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to deliver hyper-relevant, personalized products and brands. This role offers a unique opportunity to influence the end-to-end personalized discovery experience in a high-scale, multi-modal environment, collaborating with a talented team of scientists and engineers.

$211k - $291k