Top Artificial Intelligence Engineer Jobs in NYC, NY

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.

Build robust AI-powered services and features to turn data into actionable insights. Mentor engineers, deliver AI solutions, and collaborate with product team on business requirements.

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.

Join Capital One as a Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models at scale. Work with a team to design and implement key API products, enabling real-time customer-facing applications and enhancing user experiences.

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.

As a Sr. AI Applications Engineer, you will play a crucial role in building, developing, implementing, and optimizing AI solutions using OpenAI technology. Responsibilities include collaborating with teams, developing ML models, deploying models in Azure, and staying updated with AI advancements.

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.

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.

Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Develop next-generation training framework for large-scale model training. Provide technical direction influencing the entire company. Advocate for best practices in availability, scalability, and operational excellence.

Seeking an experienced Senior Generative AI Engineer to build and maintain APIs and SDKs for 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.

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.

Seeking an experienced Senior Generative AI Engineer to build and maintain APIs and SDKs to train and access AI models at scale. Responsibilities include architecting core APIs, designing for performance and scale, enabling new capabilities, and implementing AI safety measures.

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.

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.

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.

Seeking experienced AI/ML engineer for AI-driven search and discovery app. Responsibilities include leading AI/ML projects, model development, tracking performance, and mentoring team members. Required qualifications include PhD or MS with 5-8 years of experience, expertise in building AI/ML models, knowledge of statistical learning and deep learning, proficiency in Python and Java, experience with Spark, Hadoop, SQL, and cloud services.