Associate Machine Learning Engineer - Secure AI Lab

About the role

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. Our team works closely with researchers and government sponsors to develop and apply cutting-edge research in counter AI research, AI and ML algorithm defense, and applied adversarial machine learning.

Responsibilities

• Building Machine Learning Models and Systems
• Technical Experimentation
• Testing and Evaluation
• Collaboration
• Mentoring

Requirements

• A 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 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
• Willingness to travel up to 25% of the time to locations outside of your home location.

Qualifications

• Comprehensive knowledge of machine learning.
• A track record of using well-established engineering practices to solve difficult problems.
• An understanding of how to convert research results into functioning prototypes or capabilities.
• Experience leading technical projects in novel areas with limited previous work to build upon.
• Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms.
• Amplify experience with publishing written or technical artifacts showcasing your work.
• Strong collaboration skills for working with colleagues and sponsors.
• Willingness to guide and mentor junior team members.

Skills

• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe.
• Experience with modern programming languages including Python, C/C++, and Java.
• Experience with data pipelines, ETL processes, and backend systems.
• Experience with state-of-the-art machine learning methods.
• Experience with modern and emerging machine learning frameworks, methods, and algorithms in application domains like computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• A generous retirement savings program with employer contributions.
• Tuition benefits.
• Well-deserved breaks with ample paid time off and observed holidays.
• Life and accidental death and disability insurance.
• A free Pittsburgh Regional Transit bus pass.
• Access to our Family Concierge Team to help navigate childcare needs.
• Fitness center access.