Top Senior Machine Learning Jobs in St. Louis, MO

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.

Lead a software engineering team managing technical execution and team development for AI solutions in the public sector, ensuring compliance and performance.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

Lead the design strategy for Pluralsight's analytics experience, translating complex data into actionable insights while mentoring designers and fostering collaboration across teams.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

The Engineering Manager will lead the Payments Risk engineering strategy, mentor the team, provide technical leadership, and collaborate across departments to ensure effective risk management solutions are developed for the organization.

The Senior Staff Software Engineer will design and implement risk platform architecture, mentor team members, and manage project priorities to mitigate financial threats and improve detection of user patterns.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

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.

The role involves leading and scaling the Risk AI/ML team, managing multiple teams, and owning end-to-end ML systems to mitigate fraud and risk at Coinbase.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

As a Senior Staff Engineer at Coinbase, you will improve incentives infrastructure, drive growth, and solve complex technical problems in cryptocurrency applications.

As a Senior Product Manager in Risk Enablement at Coinbase, you'll define strategies, prioritize roadmaps, and lead cross-functional teams to develop scalable risk management systems, ensuring compliance and enhancing customer security.

The Lead DevOps ML Engineer will develop cloud product strategies for machine learning, ensuring efficient cloud infrastructure deployments and supporting technical roadmaps.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

Lead a team of ML engineers to build personalization systems, architect complex ML infrastructures, and drive improvements in model quality and system reliability.

Lead a team of ML engineers to build personalization systems, architect complex models, and drive technical excellence while mentoring others.

As a Senior Forward-Deployed Engineer, you'll integrate solutions for customers, design technical architectures, debug issues, and contribute to product development with a focus on customer success.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.