Top Tech Jobs & Startup Jobs in NYC, NY

Lead product work for Offers Payments within Customer Resiliency: define roadmaps, break down epics into MVP features and user stories, prioritize delivery, collaborate with engineers, designers, data scientists and stakeholders, use data-driven hypothesis testing, manage risk, and drive agile execution to build customer-focused payment and relief experiences.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Design and deliver human-centered digital and physical product experiences. Collaborate with cross-functional partners to create journey maps, blueprints, high-fidelity designs and prototypes, apply design systems, and balance customer needs with business and technical constraints. Present work, influence outcomes, and drive design quality and scalability.

As a Senior Manager, Data Scientist, you will lead a team to develop generative AI solutions and build machine learning models, enhancing customer experiences and operational efficiency.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

Lead and maintain platform infrastructure and DevOps tools, manage Google Workspace, troubleshoot user issues, monitor performance and security, automate operations using Python/Bash, container orchestration (Docker, ECS), and CM tools (Ansible, Terraform), collaborate with Architecture and Software teams to ensure platform availability, resilience, scalability, and improved user experience.

Lead a team and portfolio of technology projects to deliver cloud-based, distributed microservices solutions. Mentor engineers, collaborate with product managers, occasionally code and evaluate code, and use cloud, container orchestration, databases, and modern languages to meet regulatory and customer needs.

The Lead Software Engineer will lead diverse technology projects using Python and AWS, mentor team members, and collaborate with product managers to build cloud-based solutions.