Machine Learning Engineer

The Fire Department of the City of New York (FDNY) is the largest Fire Department in the United States and universally is recognized as the worlds busiest and most highly skilled emergency response agency. The Departments 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 Departments 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 Departments emergency responses and other processes. The ideal candidate will leverage a wide variety of data analysis techniques to analyze departmental data. This includes utilizing casual 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 as well as being 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 a 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.

CITY RESEARCH SCIENTIST - 21744

Qualifications :

1. For Assignment Level I (only physical biological and environmental sciences and public health) A masters 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 :

1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical biological environmental or social science and one year of full-time experience in a responsible supervisory administrative or research capacity in the appropriate field of specialization; or

2. A masters degree from an accredited college or university with specialization in an appropriate field of physical biological environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or

3. Education and / or experience which is equivalent to 1 or 2 above. However all candidates must have at least a masters degree in an appropriate field of specialization and at least two years of experience described in 2 above. Two years as a City Research Scientist Level I can be substituted for the experience required in 1 and 2 above.

NOTE : Probationary Period

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

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 individuals sex race color ethnicity national origin age religion disability sexual orientation veteran status gender identity or pregnancy.

Remote Work : No

Employment Type : Full-time

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Experience : years

Vacancy : 1