Software Engineering Institute | Carnegie Mellon University
Machine Learning Engineer - Autonomy Lab
Software Engineering Institute | Carnegie Mellon University, Arlington, Virginia, United States, 22201
What We Do:
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 problemsdiscover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilitiesprepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilitiesidentify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscapeAre 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.
Position Summary:
As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems.
Requirements:
BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in Computer Science with two (2) years of experience.Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance. Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.Duties:
Solution Development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain).Strategy: You’ll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering 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 and engineering directions.Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Artificial Intelligence Division.Knowledge, Skills, and Abilities:
Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.Machine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations.Robotics & Autonomy: You have a strong understanding of robotics principles and design techniques for air, sea, or land-based vehicles.Test & Evaluation: You have designed and conducted test and evaluation activities for ML components to assess operational fit and readiness.Applied Full-Stack Implementation: You have strong development experience and can design and implement software and systems resources for packaging and managing requirements for AI/ML prototypes.Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues.Dedication: You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier members of the technical staff and other visionaries.Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as machine learning, autonomy and adaptive systems, or data analytics.Desired Experience:
Thought Leadership and Publications: You have a track record of synthesizing lessons learned from research or engineering activities for publication.Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and emerging trends in computing and information science.Technical Leadership: You have led technical projects and have experience collaborating across research teams and mentoring other researchers.Proposals: You have formulated and delivered successful research and engineering proposals to funding agencies and led the resulting projects.Government Projects: You have worked or are familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors.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.
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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 problemsdiscover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilitiesprepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilitiesidentify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscapeAre 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.
Position Summary:
As a machine learning engineer in the AI for Autonomy Lab, you will identify, shape, apply, conduct, and lead engineering research that matches critical U.S. government needs. The AI for Autonomy Lab researches and demonstrates the application of AI-related technologies for improving the performance of autonomy systems.
Requirements:
BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in Computer Science with two (2) years of experience.Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25%) travel outside of your home location.You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance. Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.Duties:
Solution Development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain).Strategy: You’ll work with AI Division leaders and colleagues to plan, develop, and carry out an overall research and engineering strategy, and to influence the national research and engineering 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 and engineering directions.Mentoring: You'll contribute to improving the overall technical capabilities of the team by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Artificial Intelligence Division.Knowledge, Skills, and Abilities:
Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.Machine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations.Robotics & Autonomy: You have a strong understanding of robotics principles and design techniques for air, sea, or land-based vehicles.Test & Evaluation: You have designed and conducted test and evaluation activities for ML components to assess operational fit and readiness.Applied Full-Stack Implementation: You have strong development experience and can design and implement software and systems resources for packaging and managing requirements for AI/ML prototypes.Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues.Dedication: You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier members of the technical staff and other visionaries.Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as machine learning, autonomy and adaptive systems, or data analytics.Desired Experience:
Thought Leadership and Publications: You have a track record of synthesizing lessons learned from research or engineering activities for publication.Familiarity with Emerging Trends and Opportunities: You are familiar with technical challenges and emerging trends in computing and information science.Technical Leadership: You have led technical projects and have experience collaborating across research teams and mentoring other researchers.Proposals: You have formulated and delivered successful research and engineering proposals to funding agencies and led the resulting projects.Government Projects: You have worked or are familiar with Navy, Marine, Air Force, Army, Space Force, DARPA, IARPA, Service Labs, or other government research sponsors.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.
#J-18808-Ljbffr