Senior ML Engineer - Adversarial Defense & Prototyping

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Comprehensive medical, prescription, 9

Retirement savings with employer match

Tuition benefits

Paid time off and holidays

Life and AD&D insurance

Free Pittsburgh Regional Transit bus p

Family Concierge for childcare

Fitness center access

Job summary

Carnegie Mellon University’s SEI AI Division is seeking a Machine Learning Engineer to engineer secure, robust AI systems that support research into vulnerabilities in AI and ML algorithms, with an emphasis on defenses suitable for government sponsors.

In this role you will develop engineering solutions that study how AI systems can be attacked, create practical mitigations and defenses, and advance applied adversarial machine learning capabilities, while mentoring teammates and collaborating

Qualifications

• Bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with 10 years of experience.
• MS with 8 years of experience in related fields.
• PhD with 5 years of experience in related fields.
• Willingness to obtain DoD security clearance and work onsite in Pittsburgh or Arlington.

Responsibilities

• Identify and investigate emerging AI and AI-adjacent technologies.
• Define and refine processes, practices, and tools for working with AI.
• Design and build well-engineered prototypes of AI systems.
• Transition and provide guidance on AI capabilities to government sponsors.
• Build machine learning models and systems using TensorFlow, PyTorch, Torch, and Caffe, with Python, C/C++, and Java.
• Work with data pipelines, ETL processes, and backend systems.
• Experiment with modern ML frameworks, methods, and algorithms in computer vision, NLP, planning and scheduling, and robot control.
• Engineer safe, trusted, and reliable machine learning systems.
• Collaborate with researchers and sponsors to understand challenges and solutions.

Skills

Machine learning

Adversarial ML

Engineering practices

Communication

Education

Bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related field

MS in related field

PhD in related field

Tools

TensorFlow

PyTorch

Torch

Caffe

Python

C/C++

Java

Job description

Carnegie Mellon University’s SEI AI Division is seeking a Machine Learning Engineer to engineer secure, robust AI systems that support research into vulnerabilities in AI and ML algorithms, with an emphasis on defenses suitable for government sponsors.

In this role you will develop engineering solutions that study how AI systems can be attacked, create practical mitigations and defenses, and advance applied adversarial machine learning capabilities, while mentoring teammates and collaborating