Top Senior Machine Learning Jobs in St. Louis, MO

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

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

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

The Pre-Sales Technical Solutions Engineer designs and presents data and AI solutions, guiding clients on analytics architecture and machine learning to drive enterprise initiatives.

As Engineering Manager for MapGPT, lead a team to integrate natural language processing and machine learning into voice-driven applications, ensuring project delivery and team development.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

The Senior Product Manager will define the vision and strategy for Brand Ads & Safety, collaborate with cross-functional teams, and drive product execution to enhance brand advertising on Reddit.

As a Staff Software Engineer, you will lead engineering teams, collaborate cross-functionally, drive technical initiatives, and contribute to code while ensuring system resiliency.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

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.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.

Lead the Relevance team at Reddit to enhance search systems. Design large-scale systems for relevant search experiences, mentor engineers, and influence ML and Search strategies.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

Lead product vision, strategy, and execution for enterprise B2B products in a healthcare software company, while mentoring a team of product managers.

Lead efforts in applying reinforcement learning techniques to enhance model quality and controllability for creative applications. Mentor researchers and contribute to human-in-the-loop systems.

The Director, Product Management will lead the Contracting Product team, driving the vision and execution of the Clear Contracts platform, focusing on AI and Machine Learning in healthcare contracting.