Top Tech Jobs & Startup Jobs in NYC, NY

As a Principal Associate in Data Science at Capital One, you will work on cutting-edge projects using transformer models, large language models, and multi-modal technologies to analyze unstructured data sources like call transcripts and document images. You will lead data annotation projects, collaborate with business stakeholders, and leverage a variety of technologies including Pytorch, Hugging Face, and AWS.

Seeking a Lead Design Researcher to focus on strategic level research, collaborate with cross-functional teams, translate findings into insights, lead and shape early product definitions, manage open-ended problems, advocate for the customer, and champion research standards. Responsibilities also include building and leading successful teams, guiding team members in research planning and execution, and participating in end-to-end product research.

As a Lead Software Engineer at Capital One, you will lead diverse technology projects, mentor developers, collaborate on cloud-based solutions, and drive transformation within the company, working with technologies like JavaScript, TypeScript, and AWS.

As a Senior Manager, Data Scientist for Card Partnerships, you will lead a team in designing and executing R&D initiatives, developing next-generation card risk models using machine learning, and collaborating with cross-functional teams to deliver impactful products while nurturing the growth of your associates.

Lead Reliability Engineer at Capital One responsible for driving a major transformation within the company by collaborating with Agile teams to design, develop, and support technical solutions using various programming languages and technologies.

The Sr. Business Analyst at Capital One Shopping will be responsible for driving revenue outcomes through complex analyses, monitoring performance, and partnering with various teams to enhance the international business and achieve ambitious revenue goals.

As a Senior Manager, Data Science at Capital One, lead a team to develop machine learning models using Python and other technologies to provide data-driven solutions for customer-centric financial products. Collaborate with cross-functional teams to deliver innovative products and drive business strategies.