Top AI & Machine Learning Jobs

As a Machine Learning Engineer in the Risk AI/ML team, you will design and deploy sophisticated AI/ML models to prevent fraud and improve risk detection processed while leading technical strategies and mentoring team members.

As a Machine Learning Platform Engineer, you'll enhance ML inference infrastructure, optimize data pipelines, and build tools for model performance monitoring.

The Senior Machine Learning Platform Engineer will mentor junior engineers, optimize ML inference infrastructure, and build tools for data quality in high-performance distributed training jobs.

As a Senior Machine Learning Engineer at Coinbase, you will lead the design, development, and deployment of advanced risk detection models while mentoring junior engineers. You'll collaborate on technical roadmaps and apply cutting-edge ML methodologies to enhance security against fraud and scams.

The role involves developing ML models to enhance security measures against fraud and scams, collaborating across teams, and deploying sophisticated AI solutions on the self-service ML platform.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

As a Staff Applied Scientist, you will build causal inference models to assess product impacts, mentor colleagues, and advise leadership on product strategy.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.