Top Machine Learning Jobs in Dayton, OH

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

The Senior Product Manager will define the strategy for auto loan collections and recoveries, develop customer-facing tools, track success metrics, and make data-driven product decisions to optimize business outcomes.

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

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.

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.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

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

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

Responsible for designing and implementing AI solutions across cloud platforms, leveraging Generative AI, and managing AI services, pipelines, and infrastructure.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

As a Machine Learning Engineer, you will design, build, and test deep learning features, optimizing computer vision applications while collaborating with the ML team and improving processes.

The role involves creating and implementing Intelligent Process Automation using UiPath and Python for AI/ML solutions, collaborating with teams to streamline processes, and managing automation projects.

The Senior AI Engineer will develop AI-powered solutions to extract structured data from unstructured medical charts, focusing on efficiency, accuracy, and integration with real-world applications.

The Solutions Architect for Workday design AI-ready solutions for HR systems, implement complex integrations, and partner with cross-functional teams to enhance employee experience and operational excellence.

The CEO will lead AiTomic's development, oversee strategy and partnerships, and drive AI innovation in nuclear power operations.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

Lead a team of engineers to develop AI and data products for optimizing guest and host applications, ensuring delivery of high-quality machine learning initiatives.

The Director/Senior Director of Client Services leads project management and implementation for clients, fostering client-vendor relationships and transforming business processes through technology. Responsible for team management, client education, and data analysis, ensuring optimal usage of Enterra's solutions.