Top Machine Learning Jobs in Buffalo, NY

The Director of Personalization & Retention will develop and execute a personalization strategy, leveraging AI to enhance customer engagement and drive revenue. Responsibilities include leading a marketing team, collaborating cross-functionally, and optimizing customer experiences through data-driven insights and testing frameworks.

The Lead Data Scientist will architect AI solutions for the energy sector, develop ML algorithms, and collaborate with leadership to shape product strategy.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

As a Machine Learning Engineer, you'll design and implement scalable ML systems, develop data pipelines, support model experimentation, and collaborate across teams to deliver impactful ML solutions.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

As a Staff Software Engineer, you will lead engineering teams, collaborate cross-functionally, drive technical initiatives, and contribute to code while ensuring system resiliency.

Lead efforts in applying reinforcement learning techniques to enhance model quality and controllability for creative applications. Mentor researchers and contribute to human-in-the-loop systems.

The Appraisal Policy Analyst will collaborate with customers to enhance valuation quality, analyze feedback, facilitate onboarding, and work with cross-functional teams to align goals and improve processes.

As a Senior Research Scientist at Pinecone, you will evaluate and implement state-of-the-art AI and search techniques, improve products, and publish findings.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

The Senior Underwriting Manager oversees life underwriting operations, drives performance improvements, and mentors a team while ensuring compliance and efficiency.

As a Research Intern, you will prototype and productionize research in AI and cryptographic schemes, collaborating with teams for real-world impact.

The Sr. Director of AI Strategy & Transformation leads the AI adoption initiative at OneSource Virtual, overseeing implementation across departments, managing budgets, mentoring successors, and preparing executive presentations.

Lead architecture and engineering of AI systems, focusing on next-gen AI technology implementation, data platforms, and training optimization, while mentoring teams and evaluating enterprise readiness.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

The Director of Claims Operations will build a claims function from the ground up, focusing on enhancing customer experience, utilizing AI for efficiency, and managing compliance and performance.

As a Product Lead, you will craft the vision and strategy for Payments Intelligence, prioritize projects, and manage a team to optimize products that maximize user revenue while minimizing costs.

The role involves acting as a technical advisor for clients, driving product adoption and implementation of the Moloco Commerce Media platform, providing training, and collaborating with teams to enhance solutions based on client feedback.

The Quality Assurance Engineer will develop and execute test strategies, contribute to automated testing frameworks, and ensure product reliability by collaborating with engineering teams.

The Principal Applied Scientist will lead the development of advanced computer vision and ML systems, optimizing solutions for real-time performance on edge devices and ensuring reliability in dynamic environments.

The VP of Data & Analytics is responsible for shaping data vision, driving analytics and AI integration, ensuring data governance, and leading a high-performing team to enhance educational outcomes.