ISACA is hiring: Associate Machine Learning Engineer - Secure AI Lab in new york

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community‑wide movement to mature the discipline of AI Engineering for Defense and National Security.

• Build real‑world, mission‑scale AI capabilities through solving practical engineering problems.
• Discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human‑centered mission capabilities.
• Prepare customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities.
• Identify and investigate emerging AI and AI‑adjacent technologies that are rapidly transforming the technology landscape.

Overview

As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and secure against those vulnerabilities. You will work within the Secure AI Lab, a research community at Carnegie Mellon University focused on protecting AI systems from adversaries.

Responsibilities

• Identifying and investigating emerging AI and AI‑adjacent technologies.
• Defining and refining processes, practices, and tools for working with AI.
• Designing and building well‑engineered prototypes of AI systems.
• Transitioning and providing guidance on AI capabilities to government sponsors.
• Building machine learning models and systems using TensorFlow, PyTorch, Caffe, and programming languages such as Python, C/C++, and Java.
• Technical experimentation with modern frameworks, methods, and algorithms in domains like computer vision, natural language processing, planning, and robotics.
• Testing and evaluation of prototypes for performance and security, including rapid prototyping and novel testing techniques.
• Collaboration with researchers, designers, and government customers to understand challenges, needs, and possible solutions.
• Mentoring junior team members and contributing to the technical capabilities of the Division.

Knowledge and Experience

• Comprehensive knowledge of machine learning; prior experience in adversarial machine learning desirable but not required.
• Track record of using well‑established engineering practices to solve difficult problems.
• Understanding of converting research results into functioning prototypes or capabilities.
• Experience leading technical projects in novel areas with limited prior work.
• Strong written and verbal communication skills, able to convey complex technical ideas in lay terms.
• Ample experience publishing written or technical artifacts showcasing work.
• Strong collaboration skills for working with colleagues and sponsors.
• Willingness to guide and mentor junior team members.

Requirements

• Bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; or MS in the same fields with one (1) year of experience; or PhD in a relevant discipline.
• Willingness to work onsite five days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
• Must be subject to a background investigation and able to obtain and maintain an active Department of War security clearance.
• Willing to travel up to 25% of the time to locations such as SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Equal Opportunity Employment

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Benefits

Joining the CMU team offers a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance; a generous retirement savings program with employer contributions; tuition benefits; paid time off and holidays; and life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to the Family Concierge Team for childcare needs, fitness center access, and more.

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