Senior AI/ML Engineer
What you'd do
The Senior Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as the agency's senior technical 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).
Major duties
This position is officially titled Data Scientist (Artificial Intelligence). The working title is Senior 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 Senior AI/ML Engineer performs the following duties: Designs, develops, tests, and deploys supervised, unsupervised, NLP, deep learning, and agent-enabled AI models that detect product hazards, surface signals, and identify leading indicators. Uses modern ML frameworks (e.g., PyTorch, TensorFlow) and scalable compute environments to build high-performance models that meet standards for accuracy, fairness, robustness, and transparency. Designs and implements high-quality data pipelines for ingestion, transformation, validation, quality enforcement, and preprocessing of diverse datasets. Operationalizes models in secure cloud environments (Azure), leveraging cloud-native services, containerization, CI/CD automation, and scalable compute. Conducts analytical research to identify trends, patterns, and emerging hazards through statistical learning, causal inference, scenario modeling, and "what-if" simulations. Supports the agency's hazard detection research agenda by proposing new analytical methods, experimenting with novel architectures, and implementing advanced machine learning approaches. Develops and maintains state-of-the-art knowledge in AI/ML, participating in working groups, communities of practice, and interagency collaborations. Works closely with program offices, engineering teams, compliance staff, field investigators, and agency leadership to translate analytic requirements into operational ML solutions. Communicates uncertainty, assumptions, limitations, and risk tradeoffs associated with modeling decisions and analytical findings. Designs and develops AI agents and retrieval-augmented systems (e.g., Copilot Studio, Python-based agents) that operationalize hazard detection workflows. Integrates AI agents with APIs, event streams, dashboards, and case management systems to reduce cycle time from signal to action. Performs other related duties as assigned.
What you need to qualify
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-14: 1) Demonstrated experience advancing AI/ML and analytics initiatives by leading components of model development, data preprocessing, feature engineering, and model validation; 2) improving data pipelines and cloud-based workflows to ensure scalable, reliable analytics; 3) managing and executing Continuous Integration and Continuous Delivery/Deployment (CI/CD) pipelines; 4) applying advanced analytical and machine-learning techniques to detect patterns and identify emerging trends or hazards; 5) developing clear, actionable visualizations and technical documentation; and 6) collaborating closely with technical experts and program stakeholders to design and implement practical, data-driven solutions that strengthen hazard detection and decision-making. 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.
Before you apply
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