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Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Post-Masters Research Associate - Large Language Models

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeUnited States$80.5k - $104.7k /yr

About the Job

Requirements

  • Candidates must have received a master's degree within the past 24 months or within the next 8 months from an accredited college or university.
  • Demonstrated proficiency in Python programming for complex data analysis, task automation, and algorithm development.
  • Hands-on experience developing, evaluating, or deploying artificial intelligence and machine learning models, specifically generative AI and large language models.
  • Strong understanding of agentic systems and reasoning frameworks.

Responsibilities

  • Contribute to research on developing agentic systems to address interoperability challenges in the buildings domain.
  • Apply artificial intelligence, particularly large language models, to solve interoperability challenges that hinder large-scale deployment of smart applications in buildings and related domains.
  • Design autonomous workflows that translate complex physical system data into actionable, automated decisions.
  • Work with staff on the design, implementation, and testing of agentic AI frameworks for residential and commercial buildings.
  • Implement and test frameworks in Python.
  • Summarize technical findings in presentations and/or peer-reviewed publications.
  • Collaborate with a multidisciplinary team to bridge legacy infrastructure and next-generation control systems.

Desired Qualifications

  • Prior experience related to building energy systems, smart grid technologies, or smart building controls.
  • A track record of peer-reviewed publications or academic contributions in artificial intelligence or engineering applications.

About the Company

Pacific Northwest National Laboratory

National lab advancing energy, security, environment

Pacific Northwest National Laboratory (PNNL) conducts scientific research in chemistry, Earth sciences, biology, and data science to advance energy resiliency and national security. Its work spans designing and running experiments, developing models and simulations, and analyzing large data sets to generate knowledge and practical tools that help improve energy systems, environmental stewardship, and security. PNNL differentiates itself through its interdisciplinary approach across multiple scientific domains and its role as a government-funded national lab focused on real-world challenges, enabling collaborations with industry, academia, and government partners. Its goal is to produce actionable scientific insights and deployable technologies that strengthen national resilience and energy infrastructure.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Richland, WA
Founded
1965

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