Top Senior Machine Learning Jobs in St. Louis, MO

The Senior Product Security Engineer will lead secure software solutions in hybrid-cloud environments, ensuring security requirements, mentoring teams, and integrating security processes for product safety in military applications.

As a Manager at PwC, you will lead AI and machine learning projects, motivate teams, cultivate client relationships, and ensure quality deliverables while fostering innovation.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

Lead the strategy and development of Dandy's doctor-facing design interface, managing the full product lifecycle and collaborating across multiple teams to enhance the user experience for dentists.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

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.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

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.

Lead the architectural vision and engineering for IAM and workforce security at Coinbase, integrating security with business goals across complex cloud ecosystems and SaaS applications while mentoring teams and influencing risk strategies.

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

The Senior RAG Engineer at Wipfli will develop AI-powered solutions, working on application design, API construction, and data integration to enhance enterprise AI capabilities.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

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

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.