Top Remote Machine Learning Jobs in Cincinnati, OH

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.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

The Staff Machine Learning Engineer will develop ML models and infrastructure for personalized experiences, collaborating with teams to implement end-to-end solutions and ensure high quality in systems development.

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

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

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

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

The Lead Database Engineer designs and oversees data architecture, leveraging AI and machine learning to manage structured and unstructured data and ensure data integrity.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Research Scientist at Yahoo will design machine learning solutions, analyze data, and collaborate with engineering teams to implement research results.

Lead the Revenue Optimization team for Netflix's ad business, focusing on optimization algorithms and collaboration with various stakeholders to enhance advertising systems.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

Design and oversee deployment of data architecture, manage structured and unstructured data, and develop tools using AI and machine learning.

Lead design, build, and operation of Twilio's ML and real-time data platform. Architect cloud-native pipelines, feature stores, streaming/batch systems, and low-latency model serving on AWS. Implement MLOps (CI/CD, testing, monitoring), run system design and threat modeling, mentor engineers, and partner with Product, Security, and Compliance to meet privacy and governance requirements.

The Senior Machine Learning Engineer will enhance fraud detection capabilities through ML technologies, improve model performance, and lead high-impact ML projects from experimentation to production.

The VP of AI and Innovation will define and lead the AI strategy at BeOne Medicine, focusing on innovation, data management, and organizational enablement in healthcare. They will mentor teams and engage stakeholders to drive AI adoption and ensure alignment with business objectives.

Design, build, and improve recommender systems and ML tooling; take models from ideation to production; optimize models and data pipelines; integrate ML into backend systems to drive product personalization.

Develop and optimize unimodal and multimodal perception models for 3D/BEV terrain and surface inference, build large-scale data pipelines and annotation tools, deploy and optimize models on edge compute, collaborate with robotics/software/hardware teams, mentor juniors, and translate research into production-grade autonomous vehicle perception systems.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Senior Manager will lead a team of Partner Solution Engineers to enhance technical collaboration with strategic ISV partners, driving consumption growth and ensuring effective implementation of Snowflake solutions, while coaching the team on technical enablement and sales strategies.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

The Staff Machine Learning Engineer will architect and implement advanced ML solutions, lead ML applications in Messaging and Notification, and mentor engineers within Airbnb's AI innovations.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.