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Associate Machine Learning Research Scientist - Secure AI Lab

Employer
Carnegie Mellon University
Location
Pittsburgh, Pennsylvania, United States
Salary
Competitive Salary
Date posted
Jan 22, 2025
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Job Details



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 an Associate Machine Learning Research Scientist, you will specialize in conducting machine learning 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.

Your day-to-day research tasks will include:

· Identifying and investigating emerging AI and AI-adjacent technologies.

· Performing and publishing impactful original research in the field of adversarial machine learning.

· Adapting and applying existing research in the field to solve real-world problems.

· Transitioning and providing guidance on AI capabilities to government sponsors.

Duties: 

· Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence.

· Solution development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

· Strategy: You’ll work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.

· Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.

· Mentoring: You'll contribute to improving the overall technical capabilities of the Center by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.

Knowledge and Experience

· Comprehensive knowledge of machine learning

· A track record of conducting research and applying scientific methods to solve difficult problems

· Experience leading research 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; ability 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 3 years of relevant experience; OR MS in the same fields with 1 year of relevant of experience; OR PhD in computer science, statistics, machine learning, electrical engineering, or a related technical discipline.

· 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.

Location

Arlington, VA, 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 Mellon to 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

Company

Carnegie Mellon University

 

Carnegie Mellon University challenges the curious and passionate to imagine and deliver work that matters.

A private, global research university, Carnegie Mellon stands among the world's most renowned educational institutions, and sets its own course.

Carnegie Mellon was founded in 1900 by Andrew Carnegie under the premise that a school established to foster and develop the technical skills of its students would soon produce students and graduates whose work would astound Pittsburgh and the world. Over 120 years later, our institution continues to produce talented alumni and draws faculty and staff eager to be a part of the university's creative, passionate and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, an entrepreneurial spirit, and collaboration.

Over the past 10 years, more than 400 startups linked to CMU have raised more than $7 billion in follow-on funding. Those investment numbers are especially high because of the sheer size of Pittsburgh’s growing autonomous vehicles cluster – including Uber, Aurora, Waymo and Motional – all of which are here because of their strong ties to CMU.

With cutting-edge brain science, path-breaking performances, innovative startups, driverless cars, big data, big ambitions, Nobel and Turing prizes, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we create it. 

Pittsburgh is home to over 86,000 students from 10 colleges and universities. Pittsburgh was ranked as one of the top U.S. cities for millennials.

Some 177,000 people work in Pittsburgh's tech-related industries, and their ranks continue to grow as the city tops lists for jobs. Networking opportunities, small business accelerators, and an innovative community make the city appealing to entrepreneurs, especially recent graduates.

Pittsburgh is emerging as a tech and culture hub that The Washington Post praises for its "world-class art museums and colorful neighborhoods."

Robotics and software engineering lead the way. The city is home to GoogleUber and Apple offices and a budding ecosystem of tech startups including DuolingoModcloth and 4Moms, all of which have CMU roots.

Many seek Pittsburgh for being a hot spot for entrepreneurship and a model for future cities. Others come for the city's burgeoning food scene.

You’ll find CMU locations nationwide — and worldwide. Silicon Valley. Qatar. Africa. Washington, D.C. To name a few.

If your heart is in your work, come work with us.

Carnegie Mellon University isn't just one of the world’s most renowned educational institutions — it’s also a hotspot for some of the most talented doers, dreamers and difference-makers on the planet. When you join our staff, you’ll become an important part of our mission to create a healthier, safer and more just life for all. No matter what your role or location, you’ll connect and collaborate with dedicated, passionate colleagues — and you’ll have the satisfaction of delivering work that truly matters.

Carnegie Mellon University offers a wide range of competitive employee benefits to help you live well. Benefit eligibility varies based on the hours per week employees are scheduled to work and the employee's geographic location

We seek to cultivate diverse populations and perspectives and promote equity and inclusion. Our devotion to these ideals springs from a core belief in the power of education to be a transformative and enriching force for every person, irrespective of their background, identity or life circumstances. 

Inclusion and belonging are intricately interwoven into the very essence of our university, helping to shape our values, policies and practices. Diversity, equity, inclusion and belonging are not only central to our ethos but also indispensable to our pursuit of academic excellence and innovation.

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