Top Senior Machine Learning Jobs in Louisville, KY

The Senior Product Manager will lead the strategy for an AI assistant, ensuring compliance and user satisfaction while coordinating with cross-functional teams throughout product development.

Lead technical strategy and architecture for AI projects, manage client engagements, mentor engineers, and drive innovation in machine learning solutions.

Lead research on humanistic AI for autonomous systems. Collaborate with teams, design experiments, and publish findings in top-tier publications.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

The Staff Machine Learning Engineer will design, develop, and deploy scalable ML algorithms, lead experimentation, and collaborate across teams to enhance AI solutions.

The Senior Product Manager will lead the AI-driven product roadmap at Chess.com, focusing on innovative chess tools and deepening user engagement through AI features.

Design and deploy scalable enterprise software solutions, manage cloud resources, optimize data-driven platforms, and integrate advanced ML models and workflows.

As a Machine Learning Engineer at Netflix, you will forecast traffic, optimize infrastructure, and manage ML models, supporting engineering teams for improved performance and reliability.

Lead the design and delivery of ML infrastructure and models, mentor engineers, and drive innovation in AI-powered intelligence at Upwork.

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

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

The Sr. Engineering Manager will oversee Reddit's Ads Marketplace Quality, focusing on optimizing auctions and delivery systems while managing team growth and development.

The Staff Software Engineer will lead the design and architecture of the AI/ML platform, mentor engineers, and drive technical direction for MLOps infrastructure in healthcare automation.

As a Senior Machine Learning Engineer, you will design, build, and deploy ML systems at scale, collaborating closely with teams to optimize ticket pricing, demand forecasting, and fraud detection while maintaining high standards in software development.

Lead the design and deployment of machine learning models for personalized healthcare, mentor engineers, and collaborate across teams to improve ML infrastructure.

Lead the architecture and development of machine learning systems for personalized care, treatment intelligence, and automation at scale. Collaborate with cross-functional teams and mentor engineers.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

Lead a team of ML engineers and software engineers focused on Ads Content Understanding, driving innovation and efficiency in Ads Monetization.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.

As a Senior ML Ops Engineer, you'll automate, monitor, and scale machine learning workloads, manage infrastructure, and collaborate with teams to productionize AI services.

Lead the architecture and development of AI and ML features, design evaluation frameworks, and mentor team members to enhance ML-driven product experiences.

The Principal Product Manager will define and execute strategies for machine learning-driven search suggestions, working cross-functionally to enhance search experiences and align with business objectives.