AI ML Engineer - Cybersecurity Applications

Your experience as a security engineer puts you in the ranks of the top talent in your field.

Play a critical role at one of the world's most iconic financial institutions where security is vital.

As a Security Engineer III at JPMorganChase within the Cybersecurity and Technology Controls line of business, you serve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior.

Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm's business objectives

Job responsibilities



* Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners)


* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems


* Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities


* Leads delivery of continuity-related awareness, training, educational activities, and exercises


* Adds to team culture of diversity, opportunity, inclusion, and respect


* Model Development: Design and implement custom data models and algorithms for cybersecurity, using A/B testing to evaluate model quality.


* Advanced AI Techniques: Apply cutting-edge AI/ML/DL methods, including Generative AI, Transfer Learning, and Reinforcement Learning, to enhance cyber data analysis.


* LLM Tools and Development: Lead the selection, fine-tuning, and application development of large language models (LLMs), focusing on innovative LLM-backed applications and advanced methods like Retrieval-Augmented Generation (RAG).


* Collaboration and Implementation: Work with various teams to implement models, monitor outcomes, and ensure data accuracy.


* Innovation and Custom Solutions: Design experiments to push LLM capabilities and develop solutions for sparse-data situations.

Create custom models when existing ones are insufficient.


* Security and Risk Management: Facilitate security requirements, recommend business modifications during vulnerabilities, and manage resources based on risk assessments

Required qualifications, capabilities, and skills



* Formal training or certification on Software Engineering concepts and 3+ years applied experience


* Experience developing security engineering solutions


* Proficient in coding in one of more languages


* Overall knowledge of the Software Development Life Cycle


* Solid understanding of agile methodologies such as CI/CD, applicatio...