Top Machine Learning Jobs in Dayton, OH

The VP, AI Enablement will lead strategy and implementation of AI technologies in educational products, drive innovation, and collaborate with stakeholders to enhance learning outcomes.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

As the Engineering Manager, you will lead a product engineering team, influencing technical design, product delivery, and team growth while collaborating across functions and focusing on operational quality in payment solutions.

Lead the development and implementation of ML/AI solutions for AML and Financial Crime, collaborating with teams to optimize workflows and ensure compliance.

As a Senior AI/ML Engineer, you will develop AI/ML models using Python and relevant libraries, focused on OPIR image processing.

The Principal Machine Learning Engineer will improve diffusion models, conduct research, implement techniques, and collaborate on production-ready systems in AI for fashion.

The Data Scientist will develop machine learning models to optimize software build processes, analyzing large datasets and collaborating with teams for improvements.

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

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

The Machine Learning Engineer will develop and deploy models for anomaly detection, process unstructured marketing data, and implement monitoring systems while collaborating with analysts on detection criteria.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.

Lead a team of engineers to design, develop, and enhance the data ingestion platform, focusing on real-time data processing and system reliability.

The Technical Project Manager will coordinate technical projects related to deep learning frameworks, managing timelines and risks while ensuring client satisfaction. Responsibilities include leading project meetings, collaborating with various stakeholders, and maintaining project quality standards.

Develop and implement AI/ML solutions for healthcare claims processing, collaborating with data scientists to enhance system capabilities and automation.

The Enterprise Account Executive is responsible for defining and driving product-led sales, managing the sales process for new accounts, understanding customer technical challenges, and articulating value propositions.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

Lead the Ads Measurement & Impact Science team at Netflix, focusing on building first-party measurement solutions and driving analytics initiatives to enhance ad performance and insights.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Lead a team of ML engineers in developing advanced personalization systems. Balance technical leadership with hands-on model development, focusing on system architecture and improvements.

Develop and implement ML algorithms for bioinformatics, debug models, collaborate with teams, and maintain high-quality Python code.

Lead the ML strategy at The Browser Company, focusing on developing and optimizing ML features for a new browser. Oversee a team of ML engineers and ensure quality in product deployment.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.