Senior Machine Learning Research Scientist – Frontier Lab
Carnegie Mellon University
full-time
Posted on:
Location Type: Hybrid
Location: Arlington • Pennsylvania • Virginia • United States
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Job Level
About the role
- Execute work within the operational context—understanding users, workflows, constraints, success criteria, and outcomes
- Lead technical execution by defining technical tasking, sequencing work into realistic milestones, maintaining delivery quality, and delegating appropriately across the team
- Design and run studies, build convincing prototypes and reference implementations, and produce evidence-backed insights that can be matured and transitioned into operational settings
- Establish credible evaluation strategies and test pipelines that assess performance, robustness, reliability, and trustworthiness in mission-representative scenarios
- Serve as the primary technical interface when appropriate; translate mission goals into measurable technical outcomes; communicate progress, decisions, and risks clearly to stakeholders
- Proactively mentor junior staff and teammates, raising the bar for research rigor, engineering practice, and delivery habits across project teams
Requirements
- BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant experience; OR MS with 8 years of relevant experience; OR PhD with 5 years of relevant experience
- Deep expertise in one or more Frontier Lab-aligned areas (agentic systems, LLM reliability/evaluation, CV evaluation, robustness/assurance, TEVV pipelines, multimodal learning, edge ML)
- Strong engineering capability – can build and maintain high-quality prototypes, evaluation infrastructure, and repeatable experimentation workflows
- Strong written and verbal communication skills; able to represent technical work credibly to senior stakeholders
- Demonstrated ability to lead technical workstreams and coordinate multi-person execution
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 our Family Concierge Team to help navigate 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
prototypingevaluation infrastructureexperiment workflowsagentic systemsLLM reliabilityCV evaluationrobustness assuranceTEVV pipelinesmultimodal learningedge ML
Soft Skills
leadershipcommunicationmentoringstakeholder engagementteam coordinationresearch rigorengineering practicedelivery habits
Certifications
BS in Computer ScienceBS in Electrical EngineeringBS in StatisticsMS in Computer ScienceMS in Electrical EngineeringMS in StatisticsPhD in Computer SciencePhD in Electrical EngineeringPhD in Statistics