Top Remote Machine Learning Jobs in Buffalo, NY

As a Staff Machine Learning Engineer, you will develop, deploy, and improve machine learning models, analyze data, and collaborate with cross-functional teams to enhance revenue recovery processes.

As a Senior Machine Learning Engineer, you'll enhance productivity in claims management by deploying machine learning models and collaborating with cross-functional teams.

The Founding Lead AI Engineer will design production-grade ML models, lead AI initiatives, mentor engineers, and drive technical execution and standards for a fast-growing AI team.

As a Founding AI Software Engineer, you will design and implement machine learning models to enhance user experience and automate processes in finance, collaborating with cross-functional teams.

As a Full Stack AI Engineer at BJAK, you will build intelligent systems integrating ML models and develop APIs to deliver AI-powered features. Collaborate with cross-functional teams to enhance user experiences in financial services.

Lead AI and machine learning projects, create workflows and models, analyze data from diverse sources, and present insights to non-technical audiences.

The AI & Machine Learning Director will lead machine learning projects, design data workflows, and utilize advanced data analysis and visualization to drive business insights.

Assist in AI/ML research projects, design machine learning models, analyze datasets, collaborate with teams, and communicate findings clearly.

The intern will design and evaluate machine learning models, conduct original research, analyze datasets, and collaborate with AI/ML experts.

Develop, deploy, and enhance machine learning models and services for Netflix's ad platform to optimize ad personalization and scalability, collaborating with cross-functional teams to drive business impact.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, and mentor project teams, ensuring client satisfaction and leveraging the latest advancements in the field.

The Director of Data & Analytics will lead the analytics team, drive machine learning initiatives, and collaborate with various teams to influence data-driven decision-making.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

The ML Engineering Intern will contribute to the Nebula LLM development, tackle machine learning challenges, and gain hands-on experience in AI and language technology.