Top Software Engineer Jobs

The Distinguished Engineer will design and build infrastructure for distributed AI systems, focusing on developing reliable, scalable, and high-performance machine learning capabilities. Responsibilities include deploying large training clusters, implementing benchmarks, and supporting MLOps for foundation models in a public cloud.

As a Distinguished Engineer at Capital One, you will design and implement robust infrastructure for AI systems, focusing on large-scale training and deployment in public cloud environments. You will lead initiatives in MLOps, develop fault-tolerant systems, and optimize for performance and scalability in AI capabilities.

The Distinguished Engineer will focus on building the foundations of enterprise AI capabilities, designing robust infrastructure, deploying large-scale distributed training clusters, and implementing MLOps for foundation models, all while collaborating with AI engineers and researchers.

As a Distinguished Engineer, you will lead the development of AI capabilities, designing reliable, large-scale distributed systems for training AI models. Key tasks include creating fault-tolerant infrastructure, optimizing cloud resources, and implementing MLOps for foundation models while collaborating with a team of AI engineers.

The Distinguished Engineer will design and build secure, fault-tolerant infrastructures to support large-scale ML training tasks and deploy LLMs on cloud instances. Responsibilities include creating robust benchmarking systems, developing applications that utilize LLMs and FMs, and implementing MLOps capabilities within the enterprise AI infrastructure.

The Lead Engineer for Generative AI will architect and manage APIs and SDKs that enable training and use of AI models at scale. Responsibilities include designing interfaces for performance and governance, enhancing user experience with LLMs, and ensuring operational health and safety in AI systems.

The Lead Engineer will build and maintain APIs and SDKs for LLMs and FMs, working on projects that enhance customer experiences and develop tools for monitoring API usage. Responsibilities include architecting and deploying core APIs, designing for performance and ease of use, and implementing AI safety features.