Top Machine Learning Jobs in Buffalo, NY

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

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

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The Fraud & Safety Risk Manager develops and executes strategies to mitigate risks associated with fraud and safety. This role involves strategic thinking, operational oversight, and collaboration across teams to enhance user experience while managing risks.

Lead the AI Platform team to design and develop multi-agent frameworks, harnessing AI technologies and ensuring compliance while collaborating across teams.

As a Senior Account Executive, you will manage a portfolio of accounts, partner with HR leaders, identify new business, and guide customer satisfaction to enhance account growth. You will develop strategic enterprise-wide strategies and educate customers on TalentNeuron's value proposition.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

As a Senior Software Engineer, you will enhance bot detection products, implement features, troubleshoot issues, and analyze data for web and mobile platforms.

Assist in developing AI-powered applications, support workflows, test APIs, optimize data pipelines, and collaborate with teams to build enterprise AI solutions.

The Sr. FWA Data Analyst analyzes healthcare datasets for fraud detection using SQL, collaborates with product teams, and engages stakeholders, while presenting findings.

The Executive Director of Advanced Analytics & Data Science leads BeOne's strategic vision in data analytics, AI, and machine learning, driving commercial success and innovation while managing a high-performing team and ensuring data-driven decision-making across the organization.

The Lead Product Marketing Manager will develop and execute go-to-market strategies, manage product positioning, and drive market understanding through customer insights and competitive analysis while leading cross-functional alignment and mentorship.

The role involves leading Gartner's AI technology research, advising clients on AI applications, managing generative AI solutions, and providing actionable insights on AI trends and best practices.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

Lead research and advisory on physical AI by producing thought leadership, market analysis, client-facing advice, presentations, and support sales. Drive insights on AI-enabled robotic systems, perception, motion planning, and enterprise AI readiness while engaging executives and representing Gartner externally.

The role requires leading AI business strategy and advising C-suite executives on AI products to enhance adoption and business outcomes, including creating actionable insights and conducting market research.