Supervisory AI/ML Engineer

United States Consumer Product Safety Commission; Washington (District of Columbia); On-site; USD 140,000 - 170,000; Full time

Job summary

The Supervisory AI/ML Engineer at the U.S. Consumer Product Safety Commission leads mission-critical analytics to detect and mitigate consumer product hazards.

Based in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR), the role directs enterprise-scale AI/ML programs and the end-to-end data science lifecycle. The successful candidate will supervise technical teams, modernize cloud-native analytics, apply AI/ML to risk indicators, and document duties clearly to support

Qualifications

• Experience leading enterprise-scale AI/ML and advanced analytics programs.
• Ability to direct end-to-end data science lifecycle (data engineering, modeling, validation, deployment, monitoring).
• Experience modernizing cloud-native analytical ecosystems.
• Experience applying AI/ML to detect risks, hazards, early indicators, signals, or emerging trends.
• Supervisory or senior technical leadership improving mission outcomes in complex public safety or operational environments.

Skills

enterprise scale AI/ML programs

data science lifecycle

cloud-native analytics

AI/ML for risks

supervisory leadership

Job description

The Supervisory Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as the agency's senior supervisory data scientist leading 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).

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-15:

• 1) Experience leading and overseeing enterprise scale AI/ML and advanced analytics programs;
• 2) directing the end to end data science lifecycle (data engineering, modeling, validation, deployment, monitoring);
• 3) modernizing cloud native analytical ecosystems;
• 4) applying AI/ML to detect risks, hazards, early indicators, signals, or emerging trends;
• 5) with supervisory or senior technical leadership improving mission outcomes in complex public safety or operational environments.

Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. We will not make assumptions regarding your experience or based on job titles alone. If your resume does not support your questionnaire answers, we will not allow credit for your response(s).

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) 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.

Applicants must meet the qualifications for this position by the closing date of this announcement.