Top AI & Machine Learning Jobs

Lead data science initiatives for Risk Management and Compliance, translating business problems and KPIs into actionable insights. Develop, train, test, and deploy machine learning models for credit risk, including classical, deep learning, graph network, agentic AI, and large language model solutions. Build reliable AI agents, conduct rigorous testing, collaborate with senior stakeholders, and deliver scalable data extraction, modeling, visualization, and analytics solutions.

Leads software engineering for a Machine Learning I/O team, developing secure production code and guiding design, testing, debugging, and operational stability. Drives enterprise adoption and governance of AI-assisted development tools, establishes validation standards for AI outputs, promotes secure and responsible AI practices, and influences technical decisions across teams. Provides technical direction, serves as a subject matter expert, and advocates for scalable cloud-native engineering practices.

This 3–6 month quantitative trading and research internship develops mathematical models, pricing and hedging tools, risk models, algorithmic trading strategies, and portfolio optimization methods. Associates apply machine learning, advanced analytics, numerical algorithms, and high-performance computing to derivatives, electronic trading, market making, and risk management. The role involves research, scenario analysis, model validation, production implementation, and collaboration with traders, marketers, and risk managers.

Lead an agile engineering team to architect, develop, and productionize secure, scalable software that integrates LLMs and generative AI. Drive AI-assisted engineering practices, mentor engineers, translate business requirements into technical roadmaps, automate reliability, and ensure compliant, high-quality delivery.

Develop and train machine learning models for fraud detection across billions of transactions. Responsibilities include feature engineering, feature selection, algorithm development, predictive pattern extraction, business collaboration, and communicating findings. The role leverages big data and distributed processing technologies to reduce fraud losses and improve customer experience.

Design end-to-end conversational experiences for an internal IVR (Ask JPMC), leveraging LLMs and NLU. Conduct user research and usability testing, build prototypes and audio prompts, collaborate with ML and cross-functional teams, and integrate inclusive design and accessibility into conversational interfaces.

Design, build, and deliver production AI/ML solutions using agile practices. Translate business requirements into ML specifications, produce secure high-quality code, create architecture artifacts, analyze large datasets, troubleshoot complex issues, and contribute to engineering communities and continuous improvement.

Build and troubleshoot secure, production-ready AI/ML and agentic software for JPMorganChase’s LLM Suite platform. Develop GenAI services using Azure OpenAI, AWS Bedrock, public cloud architecture, and modern agentic frameworks. Design microservices and APIs, integrate algorithms with existing systems, support operational stability, and collaborate with senior engineers on architecture and implementation. Explore agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.

Build and deploy practical machine learning, deep learning, and generative AI solutions. Design and evaluate experiments, work with large language models and AI agents, write production-quality code, optimize model performance, and collaborate with product and engineering teams to deliver scalable AI systems.

Build end-to-end data, analytics, machine learning, generative AI, and agent-based solutions. Develop predictive models, conduct experiments, analyze trends, create insights, and support governed, secure, scalable data platforms. Collaborate in agile teams while applying data management, privacy, risk controls, and compliance practices. The program includes mentorship and training for students pursuing quantitative or technical degrees.