AI/ML Researcher

Idaho National Laboratory • Idaho Falls, ID

10h • $79,344 - $195,288 • Onsite

About The Position

Idaho National Laboratory is hiring a AI/ML Researcher to work on our Modeling & Tool Development team. Our team works a 9x80 schedule located out of our Engineering Research Office Building (EROB) facility with every other Friday off.
You will leverage advanced data analytics and machine learning techniques to drive cutting-edge research projects and contribute to scientific publications. Adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data. Work with a multi-disciplinary team of scientists and engineers. You will report to the manager for our Modeling & Tool Development team.

Requirements

• Level 2: Advanced degree in data science, engineering, mathematics, computer science, physics, autonomy, artificial intelligence, or related technical discipline.
• Level 3: Advanced degree in data science, engineering, mathematics, computer science, physics, autonomy, artificial intelligence, or related technical discipline and at least 2 years direct professional experience.
• Proven track record of conducting high-quality research, including publications in reputable scientific journals or direct professional industry experience in developing AI/ML capabilities.
• Experience in data science, data analysis, software development, and model training.
• This position requires the ability to obtain and maintain a Department of Energy "Q" clearance, which requires US Citizenship.

Nice To Haves

• Power Grid analysis.
• Cybersecurity background/experience.

Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to support research initiatives.
• Collaborate with multidisciplinary teams to design and execute experiments, analyze complex datasets, and interpret results.
• Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large language models (LLMs), physics-informed machine learning process-informed Machine Learning, systems performance analysis, and/or data sensor fusion methodologies.
• Contribute to the development of new methodologies and tools for data analysis and visualization.
• Publish research findings in peer-reviewed journals and present at scientific conferences.
• Work with a multi-disciplinary team of scientists and engineers on challenging work scope.
• Stay current with the latest advancements in data science, machine learning, and relevant research domains.
• Mentor and guide junior researchers and interns in data science methodologies and best practices.
• Demonstrate effective research skills and the ability to collaborate and partner with other government agencies, academia, and private sector companies to achieve project objectives.
• Work effectively with other research teams to develop and manage cross-cutting technical programs for a variety of customers.
• Develop and maintain notebooks, software, and/or applications.
• Work with software and database developers to develop, test, and deploy software code to development, staging and production environments.
• Analyze data quality, characterize, and communicate data quality issues to data providers, and design repeatable data processing procedures to accurately analyze data in the presence of quality issues.
• Employ specialized methods and state-of-the-art data analysis and modeling tools to support the INL's mission by ensuring the nation’s safe, competitive, and sustainable use of engineered systems in many domains by applying capabilities to impactful issues in risk, reliability, and operational performance.
• Adhere to INL policies and lab-wide procedures related to software development, cybersecurity, and management of sensitive information and data.
• Work with data providers, database administrators, and software developers to diagnose and solve problems with data and software systems quickly and effectively.

Benefits

• Medical, Dental, Vision, and Flexible Spending Accounts
• 401(k) with a 4.2%25 employer contribution and up to 4.8%25 match
• Paid time off (personal leave)
• Employee Education Program (tuition assistance)
• Comprehensive Relocation Package
• Benefit eligibility subject multiple factors, including employment status and position classification.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level