Carnegie Mellon University

Machine Learning Engineer - Secure AI Lab

Pittsburgh, PA US
Python Java Machine Learning TensorFlow PyTorch Torch
Description

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.

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we

· 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 our 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

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview: As a Machine Learning Engineer, you will specialize in engineering solutions that support Adversarial Machine Learning (AML) research.

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.

The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

· AI/ML Algorithm Attack Research: Study threat models targeting AI/ML algorithms, identify weak points, and design novel ways to subvert AI/ML systems.

· AI/ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI/ML algorithms and evaluate the effectiveness of defensive techniques.

· Applied AML: Advance the state of the art in Adversarial Machine Learning by developing and transitioning capabilities to government sponsors.

As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.

Your day-to-day engineering tasks will include:

· 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.

Duties

· Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with date pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.

· Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

· Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.

· Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.

Knowledge and Experience

· Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred

· 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

· Ability to work with leadership to plan, develop, and deliver an overall research strategy

· Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms

· Proficiency in writing funding proposals or pitching ideas for new research projects

· Ample 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

Requirements

· A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with 8 years of experience; OR MS in the same fields with 5 years of experience; OR PhD in with 2 years of experience

· You will be subject to a background investigation and must be able to obtain and maintain a Department of Defense security clearance.

· Legally authorized to work for Carnegie Mellon University in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

· Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance. 

Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!

For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information: 

  • Please visit Why Carnegie Mellonto learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click here to view a listing of employee benefits

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

  • Statement of Assurance

Carnegie Mellon University
Carnegie Mellon University
Education Higher Education Universities

0 applies

10 views

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 401 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
  • We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
  • We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
  • Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
  • Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
  • Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅

What Fellow Engineers Say