Top Senior Machine Learning Engineer Jobs in NYC, NY

The Senior Machine Learning Engineer will develop high-performance services, innovate real-time ad solutions, and lead algorithm design, collaborating closely with teams in a fast-paced environment.

As a Senior Data Scientist, you will apply quantitative analysis and machine learning to drive business impact, build models, and influence product decisions. You will also help shape the data science roadmap at Plaid, fostering a data-first approach across the organization.

As a Senior Machine Learning Engineer, you'll design and build AI systems, manage ML lifecycles, and create recommendation and retrieval systems while collaborating cross-functionally.

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.

The Senior Machine Learning Engineer will manage ML and AI model lifecycles on Databricks, automate deployment pipelines, collaborate with teams, and ensure model performance and compliance.

The role involves developing a virtual assistant platform, collaborating with cross-functional teams, leading a team of engineers, and managing the AI/ML platform while ensuring optimal performance and reliability.

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 Senior Machine Learning Engineer, you'll design and implement ML models for personalization, collaborate across teams, and enhance recommendation systems.

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

The role involves developing ML platforms, collaborating with engineers and data scientists, and mentoring while implementing best practices in ML and MLOps.

As a Senior Machine Learning Engineer, develop infrastructure for ML model deployment, collaborate with teams, and ensure model reliability and performance.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The Senior Machine Learning Engineer will personalize user experiences, build systems for model training, collaborate with cross-functional teams, and contribute to product strategy.

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

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

The Senior Machine Learning Engineer will design, deploy, and manage production ML systems, focusing on optimization and analytics for ad networks, while collaborating across teams.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The role involves developing and optimizing intelligent agents using large language models, collaborating with the team, and solving technical problems.

Join DICK'S Sporting Goods as a Senior Machine Learning Engineer, focusing on AI-driven search solutions that enhance decision-making and engagement across the organization.

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

As a Senior Machine Learning Engineer, you will develop and maintain machine learning libraries, collaborate with researchers, and ensure code robustness and efficiency.

Lead the design, development, and implementation of machine learning products, creating data pipelines and maintaining production stability.

Design and deploy machine learning models for autonomous vehicles, focusing on data tagging, dataset curation, and model validation.