Senior Machine Learning Research Scientist at Carnegie Mellon University - ScoutJobs - The AI-curated global job board
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Posted 16 days ago

Senior Machine Learning Research Scientist

Carnegie Mellon UniversitySenior Machine Learning Research Scientist - Frontier Lab

Requirements

BS in CS, EE, Statistics or related with 10 years experience, MS with 8 years experience, PhD with 5 years experience, Expertise in agentic systems, LLM reliability, or multimodal learning, Strong engineering capability for prototyping, Ability to obtain security clearance

Skills

Machine LearningAILLM

About the role

Responsibilities

  • Lead technical execution by defining tasks, sequencing milestones, and maintaining delivery quality
  • Design and run applied research studies and build high-quality prototypes for mission-critical workflows
  • Establish credible evaluation strategies and test pipelines to assess ML performance, robustness, and reliability
  • Serve as a primary technical interface for customers, translating mission goals into measurable technical outcomes
  • Mentor junior staff and teammates to raise the bar for research rigor and engineering practice
  • Shape research directions by maintaining awareness of frontier AI developments and emerging practices

Requirements

  • BS in Computer Science, Electrical Engineering, or Statistics with 10 years of experience; OR MS with 8 years; OR PhD with 5 years
  • Deep expertise in agentic systems, LLM reliability, multimodal learning, or edge ML
  • Strong engineering capability to build and maintain high-quality prototypes and evaluation infrastructure
  • Demonstrated ability to lead technical workstreams and coordinate multi-person execution
  • Ability to work onsite in Pittsburgh, PA or Arlington, VA 5 days per week
  • Ability to obtain and maintain a security clearance

Preferred Qualifications

  • Experience leading applied research projects that result in transitioned methods or effective prototypes
  • Publications at top-tier venues such as NeurIPS, ICLR, or ICML
  • Experience designing TEVV efforts, including robustness analysis and uncertainty quantification
  • Experience building agentic capabilities integrated with tools and human workflows
  • Experience working within secure or operational environments typical of government settings

Benefits

  • Comprehensive medical, prescription, dental, and vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits and ample paid time off
  • Life, accidental death, and disability insurance
  • Access to fitness centers and family concierge services

About the Company

Carnegie Mellon University is a world-renowned institution and a hotspot for talented innovators. The SEI AI Division conducts research in applied artificial intelligence to solve engineering challenges for high-impact government missions.

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Senior Machine Learning Research Scientist

Carnegie Mellon University · Pittsburgh

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