Machine Learning Engineer - Autonomy Lab

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 AI Division.

About the Role

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.

Responsibilities

• Solution Development
• Hands-on Prototyping
• Strategy
• Collaboration
• Mentoring

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.
• You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.
• Flexible to travel to other SEI offices, 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 War security clearance.
• Knowledge, Skills, and Abilities: Deep Technical Knowledge, Machine Learning, Robotics & Autonomy, Test & Evaluation, Applied Full-Stack Implementation, Communication and Collaboration, Dedication, Creativity and Innovation, Knowledge and Learning, Thought Leadership and Publications, Familiarity with Emerging Trends and Opportunities, Technical Leadership, Proposals, Government Projects.

Qualifications

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.

You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.

Flexible to travel to other SEI offices, 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 War security clearance.

Skills

• Deep Technical Knowledge
• Machine Learning
• Robotics & Autonomy
• Test & Evaluation
• Applied Full-Stack Implementation
• Communication and Collaboration
• Dedication
• Creativity and Innovation
• Knowledge and Learning
• Thought Leadership and Publications
• Familiarity with Emerging Trends and Opportunities
• Technical Leadership
• Proposals
• Government Projects

Benefits

Click here to view a listing of employee benefits

Pay

Salary

Schedule

Full time

Position Type

Staff – Regular

Job Function

Software/Applications Development/Engineering

Location

• Arlington, VA
• Pittsburgh, PA

Statement of Assurance

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