Top Remote Artificial Intelligence Engineer Jobs in NYC

Looking for an experienced Senior Distinguished Engineer, AI Systems, to help build enterprise AI capabilities. Will work on designing infrastructure, building large-scale distributed training clusters, deploying real-time AI models, and supporting AI research and development. Remote work is an option.

Seeking a Senior Distinguished Engineer, AI Systems to build foundations of enterprise AI capabilities, design secure infrastructure, and support cutting-edge AI research and development in a public cloud environment at Capital One.

Capital One is seeking a Senior Lead Engineer, Generative AI Infrastructure to build the foundations of their AI capabilities. The role involves working on various initiatives such as building large-scale distributed training clusters, deploying ML models on GPU instances, and supporting AI research and development. The ideal candidate should have extensive experience in designing and building data-intensive solutions using distributed computing, HPCs, vector embedding, semantic search technologies, and programming with Python, Go, Scala, or Java. They should also have experience in building and optimizing training and inferencing systems for deep neural networks. A Bachelor's degree in Computer Science or a related field is required, and a Master's or Doctoral degree is preferred.

Seeking a Senior AI Engineer to develop and implement cutting-edge machine learning models and algorithms. Responsibilities include algorithm development, data processing, model training and evaluation, deployment, collaboration, and performance optimization.

Looking for a Senior Generative AI Engineer to build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale. Responsibilities include designing core APIs for Large-Language Models and Foundation Models, developing application-specific interfaces, and ensuring AI safety in the API layer.

Lead Generative AI Engineer responsible for building and maintaining APIs and SDKs to train, fine-tune, and access AI models at scale. Working with a world-class team to enable real-time customer-facing applications.

Seeking an experienced Senior Generative AI Engineer to build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale within the Enterprise AI team at Capital One. Responsibilities involve designing and implementing core APIs for Large-Language Models and Foundation Models, developing application-specific interfaces, enabling users to build new GenAI capabilities, and ensuring AI safety and guardrails in the API layer.

Lead and contribute to developing and implementing machine learning models and algorithms to drive innovation and improve products and services. Work on internet-scale backend systems, specializing in machine learning model development and deployment. Collaborate with cross-functional teams and stay updated with the latest advancements in ML and AI research.

Develop and implement cutting-edge generative AI models and algorithms specifically tailored for healthcare applications. Contribute to improving patient care, optimizing clinical workflows, and advancing medical research.