Top Machine Learning Jobs in NYC, NY

The role involves leading a team of ML engineers to develop AI models for real-time communication, overseeing end-to-end ML development, and fostering an innovative team culture.

The Principal AI/ML Engineer will lead the design and implementation of machine learning solutions in AdTech, focusing on campaign optimization and user personalization while also mentoring other engineers.

As an AI/ML Engineer Intern, you will apply AI to enhance restaurant discovery experiences by analyzing data, building models, and collaborating with teams.

As a Senior Machine Learning Engineer, you will develop and deploy advanced ML models, collaborate with teams, and enhance AI integration for product features.

As a Machine Learning Scientist, you will apply advanced machine learning techniques such as time series analysis and reinforcement learning, collaborating with cross-functional teams to develop and deploy impactful solutions.

The Applied AI/ML Engineer will design, develop, and deploy AI and machine learning solutions while collaborating with cross-functional teams to optimize processes and enhance operational efficiency.

The role involves leveraging advanced machine learning technologies to create models, collaborating with teams, and translating complex methodologies into business goals.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

As a Machine Learning Intern, you will work on advanced AI solutions, collaborate with teams to design ML systems, and analyze data to enhance user experiences at Dropbox.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

As an Open-Source Machine Learning Engineer, you'll improve the ML ecosystem using existing libraries and engage with the community, enhancing accessibility to AI tools.

As an Applied Machine Learning Engineer, you'll design and optimize LLM models and pipelines, improve permitting workflows, and manage the ML lifecycle.

Lead and mentor a team of machine learning engineers to develop AI-driven product features, ensure production quality, and align with strategic goals.

The Lead Machine Learning Engineer will design, develop, and deploy AI software components, collaborate with cross-functional teams, and enhance machine learning models and infrastructure.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure model performance at scale.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Candidates who attended NeurIPS '25 are invited to share their info for potential roles at Scale AI, which focuses on machine learning and AI development.

Oversee development of machine learning platforms for payment intelligence at Stripe, leading teams to optimize revenue and risk through AI/ML solutions.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Responsible for designing and developing AI/ML product features and infrastructure to empower intelligent business decisions and operational excellence for customers.

The Research Engineer/Scientist will advance decision-making in critical industries using optimization and machine learning, collaborating with product managers and engineers.

The Machine Learning Engineer will develop and deploy AI/ML solutions, collaborate with data scientists and engineers, and enhance the platform experience.