Top Artificial Intelligence Engineer Jobs in Boston, MA
Seeking an experienced Senior Generative AI Engineer to work on building and maintaining APIs and SDKs for AI models at scale, focusing on Large-Language Models and Foundation Models. Responsibilities include designing and deploying core APIs, enabling users to work with AI capabilities, and implementing AI safety measures in the API layer.
The Molasses Flood is seeking a Senior AI Engineer to innovate and evolve AI technologies, drive AI behaviors, develop core AI framework, and optimize foundational AI systems in a multiplayer environment. This role requires a minimum of 6 years of game industry experience with a focus on AI programming.
Seeking an experienced Senior Distinguished Engineer, AI Systems, to help build the foundations of our enterprise AI Capabilities. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models, and supporting AI research and development.
Experienced Senior Distinguished Engineer in AI Systems needed to build the foundations of enterprise AI Capabilities at Capital One. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models on GPU instances, and supporting AI research and development in a public cloud environment.
Join Capital One as a Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models, work with Large-Language Models, and enhance customer experiences through AI technology.
Looking for a Senior Generative AI Engineer to build and maintain APIs and SDKs for training and accessing AI models at scale. Responsibilities include designing and implementing key API products, enabling real-time customer-facing applications, and ensuring AI safety and guardrails.
Experienced Senior Generative AI Engineer responsible for building and maintaining APIs and SDKs to access AI models at scale. Collaborate with a team to design and implement key API products for real-time customer-facing applications. Focus on enabling users to work with Large-Language Models (LLMs) and Foundation Models (FMs) in a public cloud infrastructure.
Build, orchestrate, and monitor model pipelines including feature engineering, scaling machine learning algorithms, and implementing ML Ops. Write production-ready code, collaborate with client teams, and contribute to researching latest technologies.
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Lead development and deployment of critical machine learning and deep learning models. Mentor teammates and engage with engineering leadership to define processes for ML creation and deployment.
Join Capital One as a Senior Generative AI Engineer, building and maintaining APIs and SDKs for Large-Language Models. Work with a world-class AI team to enable real-time customer-facing applications and enhance user experiences with AI capabilities.
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. Work as part of the Enterprise AI team building systems for real-time customer-facing applications.
Seeking a Senior Generative AI Engineer to build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale for real-time customer-facing applications. Responsibilities include architecting and deploying core APIs, designing performance-focused APIs, developing application interfaces, enabling new GenAI capabilities, and ensuring AI safety and guardrails in the API layer.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Design, build, evaluate, deploy, and iterate on large-scale Machine Learning systems. Collaborate with cross-functional teams to create delightful new experiences. Impact millions of users and revolutionize the way people work and collaborate.
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