Top Machine Learning Engineer Jobs in NYC, NY

We seek a Machine Learning Engineer to enhance our ML platform, focusing on modeling techniques, research workflows, and production infrastructure.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

Lead the development of scalable ML infrastructure for fraud detection, collaborating across teams while mentoring peers and shaping technical strategy.

As a Data Scientist, you'll enhance financial models, engage with clients to optimize product use, identify credit risk vectors, and develop data pipelines.

Machine Learning Engineer needed to enhance ML platform, build infrastructure, and utilize ML frameworks to solve problems in a financial context.

The role involves developing machine learning models, collaborating with teams, mentoring, and leading projects to enhance user experience in a dating app.

Design and maintain ML code for LLM safety, implement techniques for robust evaluation, and collaborate with product and engineering teams.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead technical direction on projects, mentor engineering teams, and build scheduling tools and forecasting interfaces for support agents. Collaborate with product and design teams to convert vague problems into technical solutions.

The role involves designing and maintaining ML infrastructure, solving complex technical problems, and collaborating with engineers and data scientists.

As a Machine Learning Engineer, you will develop deep generative models, create efficient data pipelines, and evaluate complex biological models in a biotech startup.

As a Staff Machine Learning Engineer at Angi, you'll lead model development, deploy MLOps solutions, collaborate across teams, foster innovation, and mentor juniors to enhance machine learning capabilities.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

The Senior Staff Machine Learning Engineer will lead the Fraud Risk Modeling team by architecting scalable ML systems, driving innovation, and collaborating with cross-functional teams to enhance fraud detection capabilities.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Lead the development of machine learning technology for Ads Ranking, improving ad delivery and user experience through collaboration with teams and product managers.

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

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

Develop and implement machine learning models, optimize algorithms, analyze data trends, and collaborate with cross-functional teams to enhance the platform.