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AI​/ML Engineer

Job in Bethesda, Montgomery County, Maryland, 20811, USA
Listing for: United States Consumer Product Safety Commission
Full Time position
Listed on 2026-06-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Overview

As an Al/ML Engineer in CPSC's Analytics Center of Excellence, you advance the agency's mission by developing Al-enabled capabilities that accelerate all elements of CPSC’s mission from risk detection, to enforcing regulations, and all manners of decision-making. You collaborate with program offices, support cloud native modernization, and provide insight on various highly technical Al/ML projects while balancing long term data strategy with rapid response needs.

Specialized

Experience Requirements

In addition to the mandatory education requirement, all applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position.

Qualifying specialized experience must demonstrate the following:

  • GS-11:
    1) Assisting with machine‑learning workflows, including data preparation, model training, and evaluation;
    2) using Python and SQL to analyze structured/unstructured data and supporting NLP or deep‑learning tasks;
    3) contributing to cloud‑based AI/ML work, basic MLOps practices and preparing technical summaries for diverse audiences; and
    4) collaborating within project teams to support the development and deployment of analytical or AI/ML solutions.
  • GS-12:
    1) Independently designing and deploying end‑to‑end machine‑learning models, including feature engineering, model optimization, and production implementation;
    2) applying advanced AI/ML methods (NLP, deep learning, anomaly detection, generative models) and implementing MLOps practices such as CI/CD, monitoring, and drift detection in cloud environments;
    3) applying data‑governance or AI‑risk‑management standards and preparing technical documentation that informs program decisions; and
    4) serving as a technical project lead to guide the adoption of AI/ML practices.

Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held. Therefore, we encourage you to be clear and specific when describing your experience.

Volunteer and Unpaid Experience

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, Ameri Corps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

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