Top Tech Jobs & Startup Jobs in NYC, NY

Paid 12-week applied research internship for current PhD students. Interns will develop and evaluate AI and machine learning solutions, collaborate with researchers, engineers, data scientists, and product managers, use technologies such as PyTorch and AWS, and contribute to production systems or academic publications. Research areas include foundation models, LLMs, reinforcement learning, causal inference, recommendation systems, interpretability, and agentic systems.

Leads AI strategy and tooling adoption for credit analytics, defining roadmaps, developing AI-enabled workflows, identifying use cases, and driving enterprise implementation. Performs business, product, marketing, and credit-risk analysis; builds models, tests hypotheses, develops recommendations, and creates monitoring plans. Partners with technology, sales, operations, finance, and business analysts to improve credit performance, customer experiences, profitability, and organizational adoption of emerging AI capabilities.

Owns product management for Business Cards and Payments, translating customer needs and business strategy into consumer-facing digital products. The role requires human-centered problem solving, technology-driven innovation, cross-functional leadership, risk mitigation, and execution excellence. Candidates should demonstrate interest in AI, including use of AI development tools, personal projects, or AI-agent automations.

Leads full-stack software engineering projects and developer teams building scalable, cloud-based microservices and customer-facing fintech travel products. Develops solutions using Scala, React, AWS, and related technologies; collaborates with product managers, mentors engineers, drives technology transformation, and supports regulatory and business needs.

Leads data engineering initiatives by designing, developing, testing, implementing, and supporting cloud-based data solutions. Collaborates with Agile teams, product managers, and machine learning engineers; works with distributed systems, databases, streaming applications, and data warehouses. Performs code reviews and unit testing, optimizes performance, explores emerging technologies, and mentors engineering team members.

Leads product strategy and execution for servicing experiences and platforms at Capital One. The role modernizes banking operations through self-service, automation, money movement, messaging, AI-enabled discovery, experimentation, and cross-functional operating models. Responsibilities include building digital product strategies, improving customer and associate experiences, leading product managers and extended teams, driving data-informed decisions, and delivering operational efficiency. Candidates need product management experience, strategic and analytical skills, digital product expertise, and team management experience.

Supports multiple executives through complex calendar management, travel coordination, expense reporting, team events, meeting planning, information sharing, and cross-team relationship building. Serves as an executive gatekeeper and team ambassador in a fast-paced environment, requiring adaptability, resourcefulness, strong judgment, communication, organization, and attention to detail.

Design, develop, test, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for scalability, cost, latency, throughput, and hardware utilization. Collaborate with engineers, scientists, technical program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

Own and prioritize product roadmaps for business cards and payments. Translate business epics into features and user stories, define acceptance criteria, validate hypotheses with data, and collaborate with designers, engineers, data scientists, and stakeholders in an agile environment. The role emphasizes customer-centered product development, emerging AI technologies, platform strategy, risk management, and communicating product direction across teams.

Twelve-week, full-time AI Engineering internship focused on building agentic AI applications and scalable AI infrastructure. Interns will prototype and productionize multimodal search, document processing, autonomous workflows, model training and inference optimization, guardrails, and evaluation frameworks. The role involves collaboration with research scientists, product managers, and engineers while using technologies such as PyTorch, AWS Ultraclusters, and agentic frameworks. Applicants must be current master's students continuing their degree program.