Top AI & Machine Learning Jobs

Lead the Policy Protect product to detect and prevent ecommerce policy abuse. Collaborate with data science and engineering to build and maintain ML models, ensure analysis scalability and reliability, define KPIs, prioritize the product backlog, and drive sales opportunities by engaging merchants and partners.

As a Data Science Team Lead, you will manage a team of Data Scientists, collaborate with cross-functional teams, develop machine learning models, and oversee their integration into production systems.

The Applied AI Engineer will build AI solutions for business teams, optimize workflows, and collaborate to translate business needs into technical implementations, using advanced AI orchestration frameworks and Python.

Lead a team of data scientists, defining technical approaches for projects, managing team development, and ensuring high-impact machine learning solutions for fraud detection and risk assessment.

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.

The Senior AI Engineer will design and maintain AI capabilities, develop internal servers, implement evaluation frameworks, and foster AI practices while collaborating across departments at Riskified.

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.