Top Hybrid Machine Learning Engineer Jobs in New York City, NY

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

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

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

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

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.

Lead the design, training, and deployment of ML and LLM models, oversee cloud-native microservices, and mentor team members.

Lead the development of Graph database and Reinforcement Learning capabilities, mentoring a data science team, and ensuring compliance in a regulated financial environment.

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

As a Senior Research Engineer, you will develop and deliver scalable ML solutions, work collaboratively in a team, and contribute innovative ideas in a fast-paced environment.

The role involves developing and deploying machine learning models, improving AI/ML infrastructure, and collaborating with cross-functional teams to drive business impact.