Machine Learning Engineer

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The Fire Department of the City of New York (FDNY) is the largest Fire Department in the United States and is universally recognized as the world's busiest and most highly skilled emergency response agency. The Department's main goal is to provide fire protection, emergency medical care, and other critical public safety services to residents and visitors in the five boroughs. FDNY members are sworn to serve and protect life and property and the Department works to continually educate the public in fire, life safety and disaster preparedness, along with enforcing public safety codes. Since its inception in 1865, FDNY has helped lead efforts to make New York the safest big city in the nation. This accomplishment requires a steadfast and daily commitment to maintaining the Department's core values.

Reporting to the Deputy Director of Industrial Engineering, the Machine Learning Engineer will play a key role in our mission to optimize the Fire Department's emergency responses and other processes. The ideal candidate will leverage a wide variety of data analysis techniques to analyze departmental data. This includes utilizing causal inference techniques (such as BART, BCF, DiD, Double ML, etc.) to evaluate the effects of pilots, and time series forecasting (LSTM, SARIMAX, VARMAX, Prophet, etc.) to predict future demand for resources. The ideal candidate will also leverage advanced deep learning architectures, including transformers, to develop and deploy data-driven solutions. The ideal candidate should be experienced in using tools such as MLFlow and Comet to track experiments and be experienced in deploying and monitoring models. The ideal candidate will be experienced in building robust pipelines and systems. This role demands a strong technical background and a pragmatic approach, focusing on creating and implementing models that deliver quantifiable impact. The ideal candidate will collaborate closely with various technical and operational teams, including GIS, Data Quality, Strategic Initiatives, and IT, to ensure a seamless transition from concept to practice.

Minimum Qualifications

• For Assignment Level I (only physical, biological and environmental sciences and public health) : a master’s degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.

To be appointed to Assignment Level II and above, candidates must have :

Probationary Period

Appointments to this position are subject to a minimum probationary period of one year.

Preferred Skills

Public Service Loan Forgiveness

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education’s website at https : / / studentaid.gov / pslf / .

Residency Requirement

New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

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