Top Machine Learning Jobs in St. Louis, MO

The AI Quality Assurance Coordinator leads the quality review process for AI-driven customer service solutions, developing standards and frameworks while overseeing QA teams.

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

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

As a Machine Learning Security Researcher, you will conduct research on security for machine learning systems, develop security frameworks, and engage with AI organizations to assess and improve their security posture.

The Outbound Collections Representative will manage high volumes of outbound calls to resolve overdue payments, using negotiation and conflict resolution skills to assist customers.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

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

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

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

The AI Quality Assurance Coordinator leads the quality review process for AI-driven customer service solutions, developing standards, managing teams, and ensuring compliance and quality metrics are met.

The AI Business Analyst will optimize Dropbox's support systems for AI innovation by analyzing performance, guiding projects, and improving efficiency and customer outcomes through data-driven recommendations.

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.

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

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.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

As a Senior Product Manager, you'll shape product vision and strategy, gather requirements, and collaborate with teams to deliver innovative healthcare solutions.

The Product Manager will contribute to product development, communicate with leadership, analyze market data, collaborate with engineers and designers, and oversee product positioning.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.