Senior AI/ML Engineer

Consumer Product Safety Commission

Washington (District of Columbia)

Remote

USD 144,000 - 187,000

Full time

3 days ago

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Benefits offered by this job

Paid vacation

Sick leave

11 paid holidays per year

Life and health insurance

Long Term Care insurance

Dental and vision insurance

Flexible spending account

Retirement plan (Thrift Savings Plan)

Job summary

The Senior AI/ML Engineer at the Consumer Product Safety Commission leads the design and deployment of AI/ML models to detect hazards and improve data-driven decisions. The role emphasizes safe cloud-native workflows, scalable compute, and robust model governance.

Responsibilities include building advanced models (NLP, deep learning, agents), integrating AI into risk-reduction workflows, and collaborating across programs to deliver operational solutions with transparency and reliability.

Qualifications

Bachelor's degree or higher in mathematics, statistics, computer science, data science or closely related field; degree must be commensurate with the position.
Combination of education and experience with 30 semester hours in the major field; transcripts required.

Responsibilities

Design, develop, test, and deploy supervised and unsupervised ML models including NLP, deep learning, and agents.
Operationalize models in secure cloud environments (Azure preferred) with containerization and CI/CD.
Lead data pipeline design, data ingestion, transformation, validation, and quality enforcement.

Skills

ML modeling

Data pipelines

Cloud computing

Python

Education

Bachelor's degree or higher in mathematics, statistics, computer science, data science

Tools

PyTorch

TensorFlow

Azure

CI/CD

Job description

Hiring Agency: Consumer Product Safety Commission
Department: Other Agencies and Independent Organizations
Location: Washington, District of Columbia

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).

Key Responsibilities

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 risks, 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.

Advises on high-quality data pipelines for ingestion, transformation, validation, quality enforcement, and preprocessing of diverse datasets. Operationalizes models in secure cloud environments (preferably 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. Acts as a key stakeholder with 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.

Requirements & Education

Mandatory Education Requirement. All applicants must meet one of the following requirements to qualify: A. A bachelor's or higher degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B.

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. There is no substitution for specialized experience at this grade level. You MUST provide transcripts to support your educational claims. Unofficial transcripts are acceptable during the application process. Official transcripts will be required upon appointment.

All materials must be submitted by the closing date of this announcement. All education claimed by applicants will be verified.

CPSC offers a comprehensive benefits package that includes:

paid vacation
sick leave
11 paid holidays per year
life and health insurance
Long Term Care insurance
dental and vision insurance
flexible spending account program
retirement savings and investment plan similar to 401(k) (Thrift Savings Plan)

CPSC also offers a broad array of work-life flexibilities and services to employees such as, flexible work schedules, transit subsidies, fitness center, and employee assistance and wellness programs.