Senior Machine Learning Research Scientist

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PAArlington, VA
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

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TL;DR · Senior Machine Learning Research Scientist

Senior Machine Learning Research Scientist - Frontier Lab As a Senior Machine Learning Research Scientist in the Frontier Lab, you will serve as a technical leader and individual contributor within the SEI AI Division. You will execute applied research and develop prototypes for government and DoW missions, focusing on agentic AI, mission-tailored language models, and multimodal learning. Your daily work involves designing studies, building evaluation infrastructure, and managing technical workstreams to improve the robustness and trustworthiness of ML-enabled systems. You will utilize skills in sensor fusion, synthetic data, and efficient inference for tactical edge deployment. Key responsibilities include mentoring junior staff, translating mission goals into measurable technical outcomes, and conducting test, evaluation, verification, and validation (TEVV) to ensure reliable performance in noisy or constrained data environments.

What you'll do

  • Design and run applied research studies to build prototypes and reference implementations for government missions.
  • Lead technical execution by defining tasking, sequencing milestones, and maintaining delivery quality across the team.
  • Establish credible evaluation strategies and test pipelines to assess ML performance, robustness, and trustworthiness.
  • Translate mission goals into measurable technical outcomes and communicate progress clearly to stakeholders.
  • Mentor junior staff to improve research rigor, engineering practices, and delivery habits.
  • Maintain awareness of frontier AI developments to shape the lab's research direction and future work selection.
  • Build agentic AI capabilities and multimodal learning systems for tactical edge environments.

What we're looking for

  • BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant experience.
  • MS in a related field with 8 years of relevant experience.
  • PhD in a related field with 5 years of relevant experience.
  • Deep expertise in agentic systems, LLM reliability, CV evaluation, robustness, TEVV pipelines, multimodal learning, or edge ML.
  • Strong engineering capability to build and maintain high-quality prototypes, evaluation infrastructure, and repeatable experimentation workflows.
  • Demonstrated ability to lead technical workstreams and coordinate multi-person execution.
  • Must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.
  • Must be eligible to obtain and maintain a Department of War security clearance.

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