Senior Machine Learning Research Scientist
Carnegie Mellon University
full-time
Posted on:
Location Type: Office
Location: Pittsburgh • Pennsylvania • Virginia • United States
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Job Level
About the role
- specialize in conducting research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities
- conduct and lead novel research in applied machine learning and artificial intelligence
- work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders
- work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy
- actively participate on teams of software developers, researchers, designers, and technical leads
- build relationships and collaborate with researchers, government customers, and other stakeholders
- contribute to improving the overall technical capabilities of the Division by mentoring and teaching others
Requirements
- A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience
- willingness to work onsite at an SEI facility 5 days per week
- be able to obtain and maintain an active Department of War security clearance
- willing to travel up to 25% of the time to locations outside of your home location
Benefits
- comprehensive medical, prescription, dental, and vision insurance
- generous retirement savings program with employer contributions
- tuition benefits
- ample paid time off and observed holidays
- life and accidental death and disability insurance
- free Pittsburgh Regional Transit bus pass
- access to Family Concierge Team for childcare needs
- fitness center access
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligenceresearch methodologyalgorithm securitydata analysisstatistical modelingprototypingsoftware developmentinterdisciplinary collaborationmentoring
Soft Skills
leadershipcommunicationteamworkrelationship buildingstrategic planningcollaborationproblem-solvingteachingadaptabilityinitiative