Machine Learning Jobs in Tempe, AZ

The Senior Fraud Risk Manager oversees enterprise fraud risk activities, assesses fraud strategies, and ensures compliance with regulations while promoting risk awareness across departments.

Develop and optimize predictive models for credit and risk, leveraging advanced machine learning techniques to improve accuracy and decision quality.

Manage full-cycle technical recruiting for engineering and corporate technology roles: source, screen, build pipelines, partner with hiring managers, represent Carvana at events, and improve recruiting processes and candidate experience.

The Vice President Consumer Marketing will develop commercialization strategies, manage product roadmaps, and lead teams to enhance early detection cancer products while ensuring regulatory compliance and market growth.

The Senior Director of Risk Data Science will lead a large team of data scientists to develop advanced fraud prevention measures using AI and machine learning. This role is responsible for setting strategic vision, deploying ML models, and ensuring their performance in a high-stakes environment.

This role involves developing machine learning models, data science pipelines, and collaborating with teams to analyze and solve business problems using large datasets.

The Senior Product Manager will lead strategy and roadmap development for new AI-powered payroll tax products, collaborating with cross-functional teams to drive execution and market success.

The Senior Machine Learning Scientist will develop LLM and CV models, mentor junior scientists, and advance AI technologies applicable to law enforcement.

Designs, builds, and maintains scalable ML infrastructure and pipelines for training, deployment, and monitoring. Optimizes orchestration, resource usage, and ML workflows; deploys real-time models; develops tooling for versioning, experimentation, and governance; monitors model performance and drift; automates MLOps processes and mentors team members.

Lead the development and optimization of machine learning models, oversee data analysis, deploy solutions, and mentor junior staff while driving strategic vision for ML initiatives.

Lead DevOps initiatives to enhance microservice infrastructure, mentor engineering teams, and manage production issues, with a focus on security and automation.

As a Senior ML Engineer, you'll develop scalable solutions for Carvana's communication platform, focusing on machine learning and data integration, while collaborating with data science and product teams for continuous innovation.