Top Machine Learning Engineer Jobs in NYC, NY

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

Develop and deploy machine learning pipelines to extract structured data from unstructured oncology documents, iterating for accuracy and customer integration.

The role involves designing and maintaining scalable ML infrastructure, collaborating with teams, and documenting processes. Senior engineers also mentor junior staff and lead projects.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

Lead the technical architecture for Spotify's Agent Engine, integrating AI systems and improving agent-based experiences while guiding platform consolidation efforts.

The Machine Learning Engineer will lead the design and integration of predictive models for monetization, retention, and user engagement, ensuring ML systems operate reliably at scale. Responsibilities include model development, collaboration with engineering teams, and embedding models into products.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

As a Lead Machine Learning Engineer, you will design, implement, and optimize ML systems, collaborate with teams, and ensure model performance.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

Develop and optimize machine learning models to enhance Spotify's content recommendations and listening experiences using LLMs and data-driven techniques.

As a Senior/Staff Machine Learning Engineer, you'll architect and build ML systems, develop models for shift pricing and fill rates, and work on computer vision tasks, mentoring junior engineers along the way.

As a Machine Learning Engineer, you will design and deploy ML models, integrating LLMs with cultural intelligence and developing recommendation systems, while collaborating with data engineers and optimizing model performance.

Design and build machine learning systems for optimizing personalization features, collaborate with cross-functional teams, and shape technical direction for engineering excellence at Spotify.

Design, implement, and scale AI/ML systems and data pipelines for healthcare applications. Own model inference, deployment, monitoring, and reliability; collaborate with cross-functional teams to deliver production ML solutions using cloud and distributed computing.

The Lead Machine Learning Engineer designs and implements ML applications, builds data pipelines, collaborates with teams, and ensures performance and governance of ML systems.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The Machine Learning Engineer will design and develop machine learning systems, implement algorithms, and optimize performance using data for self-learning applications.

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

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, ensure model performance, and build cloud-based infrastructures.

The role involves building and deploying machine learning solutions, collaborating with stakeholders, and ensuring production-ready systems, with responsibilities across the ML lifecycle.

Seeking a Machine Learning Engineer with 3 years of experience to develop and deploy ML systems, optimize models, and work collaboratively with teams to enhance ML capabilities.

Develop scalable ML platform infrastructure, support ML training and deployment, collaborate on software tools for scientists, and enhance workflows and automation.

The Lead Machine Learning Engineer will design, build, and deploy machine learning models and data pipelines, ensuring high performance and governance of ML applications while collaborating in an Agile environment.