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AI/ML Engineer

Other Agencies and Independent Organizations - Bethesda, Maryland

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$102K-$158K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

12% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Application

Cover letter
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Assessment
Required From the posting source checked Jun 20, 2026
Deadline
Not stated

Where they hire

Hires in: MD From the posting source checked Jun 20, 2026

About this role

AI/ML Engineer Bethesda, Maryland Summary The Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as a data scientist providing mission critical analytics to detect and mitigate consumer product hazards. This position is located in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR) at the U.S. Consumer Product Safety Commission (CPSC). Duties This position is officially titled Data Scientist (Artificial Intelligence). The working title is AI/ML Engineer. The incumbent supports the modernization of CPSC's analytical ecosystem by designing and implementing AI/ML models, advanced analytical methods, cloud native workflows, and automation that accelerate hazard triage and strengthen data driven decision making across the agency. The AI/ML Engineer performs the following duties: Develops and tests ML models-supervised, unsupervised, NLP, or rules‐based-using established templates, scripts, and standard methods. Performs routine model evaluation, parameter tuning, and troubleshooting using well‐defined criteria set by higher‐graded staff. Conducts quality checks on datasets using predefined rules and raises anomalies to senior team members. Assists in preparing data for cloud‐based model deployment; updates configurations under close supervision. Supports analytical studies applying statistical learning, trend detection, basic simulations, and data‐driven assessments. Conducts literature reviews, method comparisons, and benchmarking assignments to support senior analysts. Participates in meetings with program offices, data engineers, statisticians, and IT specialists to clarify data requirements and deliverables. Develops draft technical documentation for analytical tasks, including dataset descriptions, processing notes, and initial model summaries. Helps develop or refine components of AI/ML‐enabled tools, such as preprocessing modules, pattern‐detection scripts, or API integrations. Performs other duties as

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