Top Machine Learning Jobs in St. Louis, MO

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

The Staff Threat Researcher and Intelligence Engineer leads advanced research on cyber threats, architects scalable intelligence workflows, and mentors team members while collaborating with various stakeholders.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Lead architecture, development, and deployment of scalable AI-driven platforms. Collaborate cross-functionally, set technical strategy and best practices (MLOps, CI/CD, DevOps), ensure data privacy/security, mentor teams, and drive enterprise AI/ML initiatives.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

As an Advanced Analytics Intern, you will analyze data, assist with data modeling, and support AI initiatives while gaining exposure to real-world business applications.

The role requires leading AI business strategy and advising C-suite executives on AI products to enhance adoption and business outcomes, including creating actionable insights and conducting market research.

The role involves designing and prototyping advanced AI reasoning systems for real estate, focusing on LLM-powered applications while mentoring junior scientists.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The AI Tech Lead is responsible for defining and managing AI strategies, model usage, semantic routing, and agent architecture to evolve AI capabilities within the platform.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The GTM Enablement Lead is responsible for designing onboarding programs, certification standards, and knowledge management systems to optimize training for customer-facing teams, ensuring consistent operations and effective communication of UVeye's technology impact.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Manage a team of data scientists and analytics engineers to innovate Netflix's core product experience, driving measurement and insights across the TV and interactive discovery domains.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.