Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

The Distinguished Engineer, Generative AI Systems will work on designing and building infrastructure, deploying large ML models, and supporting AI research and development. They will also be responsible for designing and implementing benchmarks, developing applications, and supporting MLOps for foundation models.

Experienced Sr. Lead Engineer, Generative AI Infrastructure at Capital One, responsible for building AI foundations and working on large-scale distributed training clusters, deploying ML models, and supporting AI research and development in public cloud infrastructure.

Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.

Lead Generative AI Engineer responsible for building and maintaining APIs and SDKs to train, fine-tune, and access AI models at scale. Work with a team to design and implement key API products and services for real-time customer-facing applications. Bachelor's degree in Computer Science or related field required with at least 6 years of experience in designing and building data-intensive solutions. Experience in programming with Python, Go, Scala, or Java and building training or inferencing systems for deep neural networks.

Seeking a Senior Distinguished Engineer for AI Systems to help build enterprise AI Capabilities at Capital One. Responsibilities include designing robust infrastructure, building large-scale distributed systems, deploying ML models, and supporting AI research and development. Remote work is an option for this role.

Seeking a Senior Generative AI Engineer to build and maintain APIs and SDKs for training, fine-tuning, and accessing AI models at scale. Responsibilities include designing and implementing key API products and services for real-time customer-facing applications and enabling users to work with Large-Language Models and Foundation Models on public cloud infrastructure.

Looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale. Responsibilities include designing and implementing key API products, enabling real-time customer-facing applications, and developing tools for monitoring API access patterns and operational health.

Capital One is seeking a Senior Lead Engineer - Generative AI Infrastructure to work on building foundations of AI capabilities including large-scale distributed training clusters, deploying ML models on GPU instances, and supporting AI research and development in public cloud infrastructure. Responsibilities include designing fault-tolerant infrastructure, building runtime infrastructure for serving large ML models, and deploying search indexes in vector databases. Remote employment is an option for this role.