Top Artificial Intelligence Engineer Jobs in NYC
Seeking a Principal AI Engineer to research, develop, and implement responsible AI use for superior customer service and market differentiation. Must have experience in AI applications, full stack engineering, cloud environments, and cloud service providers like Azure. Responsibilities include advising on technology strategy, designing solutions, and testing language models.
Seeking a Senior Principal AI Engineer to research, develop, and implement responsible use of AI for superior customer service and operational capabilities in the Insurance and Financial Services industry. Responsibilities include advising senior executives on AI strategies, designing AI solutions, and staying updated on AI advancements.
Design and deploy speech-to-text systems, clean datasets for AI model training, optimize speech recognition systems, stay updated on industry developments in speech recognition and machine learning.
Seeking a Senior Distinguished Engineer, AI Systems, to help build the foundations of enterprise AI capabilities. Responsibilities include designing and building robust infrastructure, developing AI algorithms, and supporting cutting-edge AI research and development. Must have at least 7 years of experience in distributed computing, large-scale ML systems, and AI and ML algorithm development in Python or C/C++.
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.
Design and develop cutting-edge frameworks for Machine Learning. Work with a team of passionate researchers and engineers. Conduct large-scale experiments and model analysis.
Seeking an experienced Lead Generative AI Engineer to build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale. Responsibilities include designing and implementing key API products and services for real-time customer-facing applications. Must have at least 6 years of experience in data-intensive solutions and programming with Python, Go, Scala, or Java.
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.
Featured Jobs
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.
As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches.
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.
Seeking a Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models at scale. Responsibilities include architecting core APIs, designing for performance and scalability, enabling new GenAI capabilities, and implementing AI safety measures.
We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities.
Develop scalable tools using machine learning and deep learning models for finance applications at JPMorgan Chase. Lead project development by collaborating with various business lines to deploy production-level machine learning applications. Required qualifications include a PhD in a quantitative discipline, minimum 3 years of experience, and strong knowledge of machine learning theory and techniques.
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.
Lead the application of AI to mitigate the impact of bad actors and ensure user safety on the Hinge platform. Develop and maintain machine learning models to detect and prevent fraudulent activities, deliver AI-enabled product features for user safety, and ensure compliance with privacy regulations.
Design and develop scalable and high-quality AI/ML models and infrastructure for Celonis products. Collaborate with cross-functional teams to meet the business needs of customers and drive innovation in execution management systems.
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.
Join Hinge's AI Platform Core team and contribute to the development, deployment, and operations of AI enabled features. Design and enhance frameworks for AI/ML model development and deployment, collaborate with ML Engineers and Data Scientists, mentor team members, and lead discussions on technology choices. This is an opportunity to grow as a leader and shape the future of machine learning at Hinge.
Design, develop, and implement AI models and tooling. Collaborate with cross-functional teams. Lead technical discussions and provide innovative solutions. Mentor and guide engineers. Stay updated with advancements in AI and machine learning.
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.
Join Capital One as a Sr. Lead Engineer, Generative AI Infrastructure to design and build foundational AI capabilities, work on large-scale distributed training clusters, deploy ML models, and support cutting-edge AI research. Remote opportunity available. Bachelor's degree in Computer Science or related field and 8 years of experience required.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework that can support large-scale model training. Perform training and model performance optimization. Develop an AutoML platform and automate the machine learning model lifecycle. Provide technical direction that influences the entire company.
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