Senior Machine Learning Engineer - Secure AI Lab

Carnegie Mellon University

Actively hiring
Pittsburgh, PA · Arlington, VA Posted 10 days ago

At a glance

AI generated

TL;DR

As a Senior Machine Learning Engineer at the SEI AI Division’s Secure AI Lab in Pittsburgh or Arlington, you will join a world-class team focused on enhancing the security and robustness of AI systems against adversarial threats. Your daily tasks will involve identifying emerging technologies, refining processes for working with AI, designing prototypes, and transitioning capabilities to government sponsors. You will leverage machine learning frameworks like TensorFlow and PyTorch, along with Python, C/C++, and Java, to build data pipelines and backend systems while experimenting with cutting-edge methods in areas such as computer vision and natural language processing. Additionally, you will conduct testing and evaluation of AI systems for performance and security, collaborate closely with researchers and sponsors, and mentor junior team members. This role requires a strong background in machine learning, experience converting research into prototypes, and the ability to communicate complex technical ideas effectively.

Skills

Python TensorFlow PyTorch Caffe Java C/C++ CI/CD Mentoring Collaboration Adversarial Machine Learning Computer Vision Natural Language Processing Robot Control Planning and Scheduling Data Pipelines ETL Backend Systems Testing Evaluation Rapid Prototyping

What you'll do

  • - Build and work with data pipelines, ETL processes, and backend systems using machine learning frameworks.
  • - Conduct rapid prototyping to demonstrate and evaluate AI technologies in relevant environments.
  • - Design well-engineered prototypes of AI systems for government sponsors.
  • - Experiment with modern and emerging machine learning methods across various application domains.
  • - Evaluate AI systems for performance and security using novel testing techniques.

What we're looking for

  • Extensive experience in machine learning and adversarial machine learning.
  • Proven ability to convert research results into functioning prototypes or capabilities.
  • Strong track record using well-established engineering practices for complex problem-solving.
  • Experience leading technical projects in novel areas with limited prior work.
  • Proficient in modern programming languages and machine learning frameworks.
  • Excellent communication skills to convey technical ideas clearly to non-experts.
  • Willingness and ability to obtain and maintain a Department of War security clearance.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $170,750–$262,400.

Peer median band

$170,750$262,400

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$183,287$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

Carnegie Mellon University currently has 36 open roles on FindRole.

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