We support transparency, equity, and fairness in our compensation program and provide a reasonable estimate of the salary range based on data-driven market analysis for each position. While it is not typical for an individual to be hired at or near the top of the range, a reasonable estimate of the salary range for this role is $63,001-$185,135.  Individual salary within this range will be commensurate with the incumbent’s experience, unique skills and qualifications, and other relevant factors.

Contribute to artificial intelligence / machine learning (AI/ML) assurance research over a diverse project portfolio in the national defense domain. Make a tangible impact for mission-driven work with great pay and benefits.

What does AI/ML assurance research look like in this position?

We collaborate with civilian government agencies to test and evaluate military AI/ML-enabled technology to provide our warfighters with safe, effective, and usable technology. We work on a variety of efforts, including:

• Contributing to test and evaluation guidance and educational resources for AI/ML that include performance, security, integration, ethical, and DoD acquisition considerations;
• Monitoring AI/ML advancements across the DoD by interviewing program offices and attending conferences and workshops to inform investments in testing infrastructure;
• Translating and adapting AI/ML testing methods, including those from industry and academia, to address challenges posed by complex use cases and environments alongside various time, monetary, and safety constraints;
• Informing AI/ML guidance and consultations to government sponsors and IDA researchers to inform AI/ML evaluations across diverse technologies and use cases;

What qualifications and skillsets do you need?

Required:

• Bachelor’s degree with 2+ years of relevant experience OR Master's degree. We value diverse perspectives and expertise and will consider applicants from a wide array of disciplines, including but not limited to: Responsible AI (RAI), AI Ethics, Data Management, Science and Technology Policy, Artificial Intelligence, Machine Learning, Data Science, and Computer Science
• Foundational understanding of common machine learning algorithms, including their limitations and failure modes.
• Proficiency with at least one common scripting language (i.e., Python, R);
• Availability to travel (approx. 10% time); and
• Ability to obtain or currently holds a security clearance;

Why work at IDA?

IDA, as a non-profit, is uniquely positioned to answer the most challenging U.S. security and science questions with objective and rigorous analysis leveraging extraordinary scientific, technical, and analytic expertise. This position is located in Alexandria, VA, just outside Washington, D.C.

IDA offers the following benefits and resources to their employees:

• Comprehensive benefits including diverse health insurance options, generous 11% contribution to retirement, maternity/paternity leave, 20 days paid time off, and relocation reimbursement;
• Mission-oriented work at a non-profit that supports and protects our warfighters; as a non-profit, IDA employees are eligible for Public Service Loan Forgiveness (PSFL);
• Professional development including tuition reimbursement, internal and external trainings, and funding for researcher-pitched projects and publications;
• A culture of work-life balance, including flex time, partial telework, and limiting work communication to core business hours;
• A brand-new facility located in Alexandria’s high-tech corridor in Potomac Yard; amenities include a cafeteria, gym, and close proximity to local dining and shopping; and
• Easy access to Potomac Yard Metro stop and Potomac Yard DASH bus stop. Employer contributes $300/month (IRS max) to commuter benefits.

What are the next steps?

• Complete the application and submit your resume.

The application process consists of three interviews.

1. A short screening call with HR;
2. A 30 min – 60 min screening call with researchers; and
3. A full day interview with various researchers and staff; includes giving an hour presentation on a research project.

Prior to the full day interview, you will be asked to provide:

• Transcripts (unofficial accepted);
• 3 letters of recommendation; and
• A writing sample.