Top Remote Artificial Intelligence Engineer Jobs in San Francisco Bay Area

Seeking a Staff AI Engineer with expertise in LLM training and optimization to develop cutting-edge AI solutions for various applications. Responsibilities include designing and optimizing large language models, collaborating with cross-functional teams, and staying updated on NLP advancements. Qualifications include 8+ years of MLE experience, proficiency in Python and deep learning frameworks, and a passion for responsible AI development. Benefits include pension scheme, medical/dental coverage, personal/professional development funds, and flexible vacation.

AI Engineer at Writer responsible for developing and implementing generative AI models and algorithms, collaborating with software developers, and staying up-to-date with AI advancements.

Seeking an experienced Senior Distinguished Engineer, AI Systems to help build enterprise AI capabilities. Responsibilities include designing infrastructure, building large-scale ML systems, deploying ML models, benchmarking performance, and supporting MLOps.

Looking for an experienced Senior Distinguished Engineer, AI Systems, to help build enterprise AI capabilities. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models, and supporting AI research and development.

Seeking an experienced Senior Distinguished Engineer, AI Systems to help build enterprise AI capabilities. Responsibilities include designing robust infrastructure, building distributed training clusters, deploying ML models, and supporting AI research and development. Preferred qualifications include a Master's or PhD degree, experience with large-scale distributed platforms in cloud environments, and knowledge of modern AI techniques.

This is a senior-level role for a Distinguished Engineer, Generative AI Systems. The engineer will be responsible for designing and building infrastructure for large-scale AI systems, deploying ML models, optimizing training clusters, and implementing MLOps capabilities.

Looking for a Senior Distinguished Engineer experienced in AI and ML to help build enterprise AI capabilities, design infrastructure, and support AI research and development. Responsibilities include designing fault-tolerant infrastructure, building large ML models, deploying training clusters, and implementing MLOps for foundation models.

Lead Generative AI Engineer role at Capital One focusing on building and maintaining APIs and SDKs to train, fine-tune, and access AI models at scale. Work on real-time customer-facing applications, architecting core APIs, and enabling users to work with Large-Language Models (LLMs) and Foundation Models (FMs).