Top Machine Learning Jobs in Buffalo, NY

The Principal Software Development Engineer will lead technical projects within the Rich Media group, focusing on scalable solutions and mentoring engineers, to enhance the real estate buying experience using AI and computer vision.

The Principal of Payer Strategic Consulting will drive consulting sales with healthcare payers, managing multi-million-dollar quotas, leading teams, and enhancing client relationships to deliver optimized consulting solutions and business growth.

Lead a team of Partner Solution Engineers to drive technical wins and implement solutions for strategic System Integrator partners, focusing on architecture and business value.

The Machine Learning Engineer will develop and deploy machine learning models, collaborate with teams, and contribute to experimental designs and product requirements.

The Analyst Relations Specialist will handle outreach to industry analysts, coordinate participation in evaluations, and develop messaging, leveraging AI tools to synthesize data and automate tasks.

The intern will contribute to machine-learning models and analyses that impact Oura members, collaborating with experienced scientists and engineers.

Lead the design and implementation of deep learning models for biological data, focusing on model architecture, project leadership, and innovation in machine learning applications in biology.

The role involves sourcing and recruiting senior engineers in AI, ML, and related fields, building talent pipelines, and collaborating with engineering leadership.

Lead the architecture, development, and management of machine learning systems for personalized decision-making, ensuring reliability and explainability in real-time contexts.

Develop NLP microservices for semantic context-based search of Earth data, focusing on model design, training, and lifecycle management.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

The Senior Product Manager will lead product development for AI and fashion design tools, collaborating with engineers and designers to enhance user experience and drive product strategy.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

The Partner Sales role involves managing partnerships to drive revenue, developing strategic partner plans, and collaborating across teams to achieve sales targets.

The Sales Engineer will drive revenue by crafting cloud data security solutions, managing demos, and consulting with stakeholders while utilizing Cyera's technology.

As a Research Scientist at Netflix, you will collaborate on machine learning projects to enhance content metadata and discovery, while operationalizing models.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

This role involves designing AI agents, building robust infrastructure, and translating customer insights into technical requirements while working with reinforcement learning and applied data.

As a Senior Software Engineer, you'll lead software development, solve complex problems, and collaborate closely with clients to deliver business value using modern technologies.

Design and build production-grade AI systems, combining ML and LLMs, ensuring performance and reliability while providing technical leadership and mentorship.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

The apprenticeship offers hands-on experience in AI/ML and software development, alongside participating in a bootcamp, working on production-level projects, and receiving mentorship.