Top Machine Learning Jobs in St. Louis, MO

The Senior Machine Learning Engineer will develop full-stack tools, collaborate on research, and build production ML systems, optimizing infrastructure for AI startups.

The role involves designing and implementing production-grade ML systems, developing generative AI models, and collaborating on technical solutions in a remote environment.

As a Postdoctoral Researcher, develop and implement AI/Machine Learning radiology solutions, engage in collaborations, and analyze complex imaging data to enhance drug discovery in healthcare.

Seeking a senior product designer for AI/ML platform development, responsible for transforming user experiences, leading projects, and mentoring designers. Emphasis on design impact and collaboration with cross-functional teams.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead the technical vision and architecture for machine learning and data systems, overseeing scalable infrastructure and collaboration across teams.

Lead and grow a global engineering team, drive technical strategy, and deliver value through innovative solutions while fostering a culture of growth and collaboration.

Develop and maintain web-based tools for AI/ML practitioners, improve model observability, enhance user experience, and collaborate cross-functionally. Drive product excellence and improve systems and codebase.

The role involves designing and developing machine learning infrastructure and models, consulting on best practices, and building scalable services for AI integration.

As a Senior Machine Learning Engineer, you will design ML infrastructure, build AI features, and collaborate with cross-functional teams while managing large data sets.

Develop, evaluate, and deploy AI systems and machine learning models, focusing on NLP and multimodal models. Collaborate with teams and publish research.

Lead the development and deployment of machine learning solutions that enhance content discovery on Netflix, partnering with engineering and creative teams.

Lead the development of advanced machine learning models and systems, architect scalable solutions, mentor engineers, and drive improvement initiatives for product performance and innovation.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

The Machine Learning Engineer will build and optimize internal tools, frameworks, and performance measurement systems, collaborating with Data Science to enhance model deployment in a dynamic environment.

The Machine Learning Consultant will structure, enrich, and connect data for Suzy's AI-driven applications, design frameworks, and implement systems for efficient data retrieval and processing.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.

Design and implement a perception system for autonomous vehicles, focusing on data integration from various sensors and ensuring safe operation.

The Analytics Engineer will lead analytics initiatives for live events at Netflix, where they’ll define metrics, build reporting tools, and drive strategic insights to improve viewer engagement and monetization.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.