Top Machine Learning Jobs in Cincinnati, OH

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.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

As a Senior Machine Learning Engineer, you'll develop and deploy AI-driven products, build robust ML models, and collaborate with teams to enhance clinical research using advanced AI solutions.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

As a Senior Machine Learning Engineer, you'll develop and optimize ML systems, implement pipelines, and collaborate with cross-functional teams to enhance Yahoo's data capabilities.

Develop and maintain scalable AI-powered SaaS applications. Collaborate with product and design teams to enhance user experience and efficiency.

The Principal AI/ML Platform Engineer leads the development and delivery of ML and GenAI platforms, ensuring scalability, compliance, and performance across various workflows and products, while mentoring the engineering team.

Lead the Generative AI engineering team in building and executing AI strategies, managing platform lifecycle, and collaborating with stakeholders for impactful AI solutions.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

Develop scalable processes and algorithms for information retrieval and machine learning techniques. Collaborate with teams to improve systems for processing Yahoo mail data.

As a Senior Machine Learning Engineer, you'll design and implement deep learning models and robust infrastructures for clinical applications, particularly in computer vision for dental conditions.

The Lead Machine Learning Engineer will develop scalable ML systems for optimizing advertising performance, collaborating with global teams and applying advanced ML techniques.

Build and optimize recommendation systems, deploy ML models for personalization, enhance data pipelines, and run A/B tests to drive business growth.

The Senior Machine Learning Engineer will develop and deploy ML models for personalizing user experiences and optimizing content discovery, driving significant revenue growth.

Lead the design, deployment, and scaling of machine learning systems for real-time user recommendations, improving engagement and revenue at scale.

The Lead ML Engineer will design and deploy complex ML systems to optimize ad performance, working with global teams to enhance user engagement and drive revenue.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.