Urwah Admin

Carnegie Mellon University

<p></p><div><div><div><p>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.
</p></div><div><p>As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
</p></div><div><ul><li><p>build real-world, mission-scale AI capabilities through solving practical engineering problems
</p></li></ul></div><div><ul><li><p>discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities
</p></li></ul></div><div><ul><li><p>prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
</p></li></ul></div><div><ul><li><p>identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape<br>
<br>
</p></li></ul></div><div><p>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.<br>
<br>
</p></div><div><p><b>Overview </b><b>: </b>As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.<br>
</p></div><p></p><div><p>The Secure AI Lab within the SEI&rsquo;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 Secure AI 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&rsquo;t supposed to.<br>
</p></div><p></p><div><p>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:
</p></div><div><ul><li><p><b>Counter AI Research </b><b>: </b>Study threat models targeting AI and ML algorithms , understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems .
</p></li></ul></div><div><ul><li><p><b>AI </b><b>and </b><b>ML </b><b>Algorithm Defense </b><b>Research: </b>Creat e practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques .
</p></li></ul></div><div><ul><li><p><b>Applied Adversarial Machine Learning: </b>Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.<br>
</p></li></ul></div><p></p><div><p>As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.<br>
</p></div></div><p></p><div><div><p>Your day-to-day engineering tasks will include:
</p></div><div><ul><li><p><b>Identifying </b><b>and </b><b>i </b><b>nvestigating </b>emerging AI and AI-adjacent technologies.
</p></li></ul></div><div><ul><li><p><b>Defining and </b><b>r </b><b>efining </b>processes, practices, and tools for working with AI.
</p></li></ul></div><div><ul><li><p><b>Designing and </b><b>b </b><b>uilding </b>well-engineered prototypes of AI systems.
</p></li></ul></div><div><ul><li><p><b>Transitioning and </b><b>p </b><b>roviding </b>guidance on AI capabilities to government sponsors.<br>
</p></li></ul></div><p></p><div><p><b>Duties
</b></p></div><div><ul><li><p><b>Building Machine Learning Models and Systems: </b>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 dat a pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
</p></li></ul></div><div><ul><li><p><b>Technical Experimentation: </b>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.
</p></li></ul></div><div><ul><li><p><b>Test </b><b>ing </b><b>and evaluat </b><b>ion </b><b>. </b>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.
</p></li></ul></div><div><ul><li><p><b>Collaborat </b><b>ion </b><b>. </b>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 .
</p></li></ul></div><div><ul><li><p><b>Mentoring. </b>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.<br>
</p></li></ul></div><p></p><div><p><b>Knowledge and </b><b>Experience
</b></p></div><div><ul><li><p>Comprehensive knowledge of machine learning ; previous experience in adversarial machine learning desirable but not required
</p></li></ul></div><div><ul><li><p>A track record of using well-established engineering practices to solve difficult problems
</p></li></ul></div><div><ul><li><p>An understanding of how to convert research results in to functioning prototypes or capabilities
</p></li></ul></div><div><ul><li><p>Experience l ead ing technical projects in novel areas with limited previous work to build upon
</p></li></ul></div><div><ul><li><p>Strong written and verbal communication skills ; able to convey complex technical ideas in a layperson&rsquo;s terms
</p></li></ul></div></div><div><div><ul><li><p>Ample experience with publishing written or technical artifacts showcasing your work
</p></li></ul></div><div><ul><li><p>Strong collaboration skills for working with colleagues and sponsors
</p></li></ul></div><div><ul><li><p>Willing ness to guide and mentor junior team members<br>
</p></li></ul></div><p></p><div><p><b>Requirements
</b></p></div><div><ul><li><p>A bachelor&rsquo;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.<br>
<br>
</p></li><li><p>Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
</p></li></ul></div><div><ul><li><p>You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.<br>
<br>
</p></li><li><p>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.
</p></li></ul></div></div><p></p><p><b>Joining the CMU team opens the door to an array of exceptional benefits.
</b></p><p></p><p><b>Benefits eligible </b><b>employees enjoy a wide array of benefits including </b><b>comprehensive medical, prescription, dental, and vision insurance </b><b>as well as a generous </b><b>retirement savings program </b><b>with employer contributions. Unlock your potential with </b><b>tuition benefits </b><b>, take well-deserved breaks with ample </b><b>paid time off </b><b>and observed </b><b>holidays </b><b>, and rest easy with life and accidental death and disability insurance.
</b></p><p></p><p><b>Additional perks include a free Pittsburgh Regional Transit bus pass, access to our </b><b>Family Concierge Team </b><b>to help navigate childcare needs, </b><b>fitness center access </b><b>, </b><b>and much more!
</b></p><p></p><p><b>For a comprehensive overview of the benefits available, explore our </b><b>Benefits page </b><b>.
</b></p><p></p><p><b>At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.
</b></p><p></p><p><b>Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
</b></p><p></p><p><b>Location
</b></p>Arlington, VA, Pittsburgh, PA
<p><b>Job Function
</b></p>Software/Applications Development/Engineering
<p><b>Position Type
</b></p>Staff &ndash; Regular
<p><b>Full Time/Part time
</b></p>Full time
<p><b>Pay Basis
</b></p>Salary
<p><b>More Information:
</b></p><div><div><div><div><ul><li><p>Please visit <b>&ldquo; </b><b>Why Carnegie Mellon </b><b>&rdquo; </b>to learn more about becoming part of an institution inspiring innovations that change the world.</p></li><li><p><br>
</p></li><li><p><b>Carnegie Mellon University is an Equal Opportunity </b><b>Employer/Disability/Veteran </b>.
</p></li><li><p><b>Statement of Assurance</b></p></li></ul></div></div></div></div></div><p></p>

Associate Machine Learning Engineer - Secure AI Lab

<p></p><div><p>Carnegie Mellon University is a private, global research university that stands among the world&rsquo;s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn&rsquo;t imagine the future, we invent it. If you&rsquo;re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
</p><p></p><p>The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our interdisciplinary approach to education and research allows faculty and student across the university and beyond to collaborate on problems that have a significant impact on the world around us. The ECE Department, part of the College of Engineering, is a large and diverse academic community, and includes global research and
<br>
teaching efforts through extensions of our Pittsburgh academic programs and research in Silicon Valley, Portugal, Africa, and Thailand.
</p><p></p><p>The Department of Electrical and Computer Engineering is seeking an Associate Buyer that will be responsible for the purchasing of goods or materials and preparing and processing related paperwork in compliance with the University purchasing policy (i.e. purchase order). The Associate Buyer contacts vendors as needed to follow-up on questions and/or issues. Answers department related questions regarding the University purchasing policies and procedures. Generally, this position purchases goods and materials from vendors on the Procurement Services preferred supplier and contract supplier list. May assist with reviewing vendor lines, placing re- orders, pricing merchandise, managing inventories or performing price comparisons.
</p><p></p><p><b>Core Responsibilities:
</b></p><ul><li>Monitors the purchasing email inbox to promptly review, acknowledge, and determine ownership of purchase requests.
</li><li>Converts purchase requests to purchasing tickets using request tracker software.
</li><li>Ensures compliance with procurement policies.
</li><li>Uses a university purchasing card or Oracle Purchase Orders to convert Purchase Requests to orders.
</li><li>Creates Capital Asset Requisitions for capital equipment.
</li><li>Communicates with faculty and staff to provide order status and resolve issues.
</li><li>Reconciliation of university purchasing card transactions.
</li><li>Purchase Order invoice management, including uploading invoices, confirming receipts in the Oracle system, communication with Accounts Payable, and suppliers.
</li><li>Acts as backup support to the Manager of Procurement Services.
</li><li>Work closely with other team members, faculty, staff and students to provide price comparisons, vendor information and backup documentation for purchases.
</li><li>Places credit card orders
</li><li>Maintains auditable documentation that will support purchases.
</li><li>Performs related duties as assigned.
</li></ul><p></p><p>Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
</p><p></p><p><b>Qualifications:
</b></p><ul><li>Associate&rsquo;s degree; bachelor&rsquo;s degree (preferred)
</li><li>1-3 years&rsquo; experience
</li><li>A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
</li></ul><p></p><p><b>Requirements:
</b></p><ul><li>Successful background check
</li></ul><p></p><p><b>Joining the CMU team opens the door to an array of exceptional benefits.
</b></p><p></p><p><b>Benefits eligible </b><b>employees enjoy a wide array of benefits including </b><b>comprehensive medical, prescription, dental, and vision insurance </b><b>as well as a generous </b><b>retirement savings program </b><b>with employer contributions. Unlock your potential with </b><b>tuition benefits </b><b>, take well-deserved breaks with ample </b><b>paid time off </b><b>and observed </b><b>holidays </b><b>, and rest easy with life and accidental death and disability insurance.
</b></p><p></p><p><b>Additional perks include a free Pittsburgh Regional Transit bus pass, access to our </b><b>Family Concierge Team </b><b>to help navigate childcare needs, </b><b>fitness center access </b><b>, </b><b>and much more!
</b></p><p></p><p><b>For a comprehensive overview of the benefits available, explore our </b><b>Benefits page </b><b>.
</b></p><p></p><p><b>At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.
</b></p><p></p><p><b>Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
</b></p><p></p><p><b>Location
</b></p>Pittsburgh, PA
<p><b>Job Function
</b></p>Procurement and Purchasing
<p><b>Position Type
</b></p>Staff &ndash; Regular
<p><b>Full Time/Part time
</b></p>Full time
<p><b>Pay Basis
</b></p>Hourly
<p><b>More Information:
</b></p><div><div><div><div><ul><li><p>Please visit <b>&ldquo; </b><b>Why Carnegie Mellon </b><b>&rdquo; </b>to learn more about becoming part of an institution inspiring innovations that change the world.</p></li><li><p><br>
</p></li><li><p><b>Carnegie Mellon University is an Equal Opportunity </b><b>Employer/Disability/Veteran </b>.
</p></li><li><p><b>Statement of Assurance</b></p></li></ul></div></div></div></div></div><p></p>

Associate Buyer - College of Engineering - Electrical and Computer Engineering

Join Carnegie Mellon University and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Carnegie Mellon University

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Associate Machine Learning Engineer - Secure AI Lab

Associate Buyer - College of Engineering - Electrical and Computer Engineering