Top Machine Learning Jobs in Louisville, KY

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

The Principal Product Manager will lead the strategy and delivery of an AI-native platform, connecting internal tools and compliance systems at Circle, ensuring regulatory performance while fostering innovation.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools, compliance programs, and partnership with vendors.

Lead the strategy and delivery of an AI-native platform, transforming Circle's internal tools and compliance systems while collaborating cross-functionally.

As a Senior Software Engineer on the Data Platform team, you'll design and operate data services, maintain scalable ingestion pipelines, and collaborate on data governance, ensuring reliability and performance of critical data systems.

As a Senior Software Engineer, you will develop and maintain data platform services, ingestion pipelines, and collaborate across teams to ensure data reliability and quality.

You will own and evolve the core Data/ML platform, build data pipelines, monitor data flows, and collaborate with various teams to deliver solutions.

As a Senior Software Engineer in the Data Platform team, you will design and maintain data systems, implement pipelines, ensure data quality, and collaborate across teams to enhance data governance and platform operations.

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional teams.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

The Director of Lifecycle Marketing Operations will lead a team to enhance customer acquisition and retention strategies using AI analytics and automation.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

The role involves managing AI/ML products at Velocity Black, collaborating with stakeholders, optimizing concierge services, and driving innovation. Candidates should have experience in product management and a passion for AI/ML technologies.

As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.

The Sr. Channel Manager will drive revenue and partnership growth, strategize with key partners, and foster collaboration across the organization. Responsibilities include pipeline generation, tactical execution, and motivating sales teams to achieve goals.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.