Top Remote Machine Learning Jobs in Dayton, OH

The Sales Development Representative is responsible for generating, qualifying, and nurturing leads, supporting the sales team, and developing outbound prospecting strategies to expand Mutt Data's presence in the U.S. market.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The Senior Backend Engineer will develop and maintain backend systems, collaborate on data-driven solutions, and enhance products using machine learning.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

The ML Platform Engineer will develop and scale ML infrastructure, automate workflows, and collaborate with data scientists to deploy models efficiently in production.

The role involves building and maintaining ML pipelines, optimizing workflows, and contributing to product strategy with a focus on usability.

The Machine Learning Engineer will fine-tune and deploy Large Language Models, optimize ML models, maintain data pipelines, and collaborate on AI features.

The role involves developing and optimizing intelligent agents using large language models, collaborating with the team, and solving technical problems.

The role focuses on enhancing detection frameworks using machine learning to identify malicious activities and minimize risks for Netflix.

Build and deploy ML systems that detect fraud and automate security decisions, while collaborating with cross-functional teams.

Develop and optimize machine learning models for financial and operational workflows at Netflix, ensuring model reliability and integration with studio applications.

The role involves fine-tuning machine learning models, designing datasets and pipelines, and ensuring product quality and safety for a new AI application.

As a Machine Learning Engineer, you will fine-tune models, shape data pipelines, evaluate AI behavior, and collaborate on product features in a high-autonomy environment.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

As Engineering Manager, lead the Data Science Team in delivering impactful solutions through data analysis and machine learning, fostering collaboration, and mentoring team members.

As a Data Science Intern, you will apply statistical and machine learning techniques to solve problems in the insurance industry, collaborate with experienced data scientists, and present your findings to stakeholders.

The Vice President will lead late-stage respiratory clinical programs, assembling and managing cross-functional teams, overseeing trials for asthma and COPD, and ensuring regulatory compliance while driving strategic development plans.

Join Paradigm's Data Science Teams focusing on Data Analytics, Machine Learning, and ML Ops. Positions available for talented individuals in these areas.