Top Machine Learning Engineer Jobs in NYC, NY

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

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.

As a Machine Learning Engineer, you will analyze complex datasets, develop models, manage ML Ops, and enhance customer products using machine learning techniques.

Develop and deploy machine learning models for Hinge's dating platform, collaborating with teams and mentoring junior engineers.

The Staff Machine Learning Engineer will design, develop, and deploy ML systems to enhance user growth and monetization at Hinge, collaborating with teams and ensuring ethical AI practices.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

Lead the development of AI-powered consumer products, managing cross-functional teams, optimizing machine learning systems, and ensuring high-quality software engineering practices.

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

Design, implement, and improve components in a machine learning product, apply Python expertise, collaborate with teams, and support customer implementation for success.

As a Senior Machine Learning Engineer, you will design, build, and productionize machine learning models while collaborating with product managers and engineers.

Lead the design, development, and implementation of machine learning applications. Collaborate cross-functionally to deliver ML models that solve business problems and ensure best practices in ML engineering.

Develop and maintain scalable AI/ML architectures, collaborate to integrate solutions into products, and evaluate technologies for optimal performance.

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

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

Lead the design, development, and implementation of machine learning applications, focusing on architecture, model training, and deployment using emerging technologies.

The role involves deploying and scaling machine learning models, optimizing systems for ML applications, and collaborating with various teams to support data science functionalities at Squarespace.

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

As a Lead AI/ML Engineer, you'll develop LLM-powered investment research tools, optimize ML models, and engage with clients to enhance product offerings.

Design, train, and deploy machine learning models for detecting malicious content, working with large datasets and collaborating with teams to enhance system scalability.

As an AI/ML Engineer, you'll develop data/ML pipelines, analyze unstructured data, and contribute broadly to product development.

The Machine Learning Engineer will build AI-powered systems for legal applications, focusing on processing documents, automating workflows, and collaborating with various experts to improve performance.

As a Machine Learning Engineer, you'll build data models and ML systems to help small businesses leverage data for real estate decisions. You'll work on ML Ops tooling and collaborate with teams to enhance their workflows.