Top AI & Machine Learning Jobs

Designs and operates reusable AI capabilities, platforms, APIs, tools, agent infrastructure, RAG systems, evaluation frameworks, and guardrails. The role develops an internal MCP server, drives AI adoption, consults with cross-functional stakeholders, and owns projects from requirements through deployment and operations. It requires strong backend engineering, cloud experience, DevOps capability, product thinking, and organizational influence.

Lead innovation for Riskified’s Identity Graph Engine by researching, architecting, and deploying large-scale machine learning models for identity resolution and fraud prevention. Build models across graph, tabular, and sequence data; guide research roadmaps and technical standards; integrate ML pipelines into real-time production systems; benchmark academic research; collaborate with engineering and product teams; and mentor senior data scientists.

As a Senior AI Engineer, you will design and maintain AI capabilities, develop infrastructure, create evaluation frameworks, and collaborate across teams to integrate AI into products.

As a Data Scientist, you will utilize machine learning and statistical analysis to develop algorithms, perform data modeling, and collaborate with teams to implement data-driven solutions.