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Machine Learning Geospatial Jobs in New York (NOW HIRING)

Neara

Data Scientist

New York, NY · On-site

$160K - $190K/yr

We use advanced machine learning to create engineering-grade, physics enabled digital twins of ... Geospatial data or power grid experience are a plus. * You have a strong intuition for data with ...

Bedrock Robotics

Data Scientist

New York, NY · On-site

... machine learning, backend, and product teams to extract insights from complex, real-world data ... geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)

FreshDirect

Director of Engineering

Woodbridge, NJ

Exposure to data science and machine learning applied to logistics or personalization. Nice to have ... Exposure to routing, geospatial, or timeslot/scheduling systems. * Familiarity with system ...

FreshDirect

Director of Engineering

Woodbridge, NJ · On-site

$160K - $180K/yr

Exposure to data science and machine learning applied to logistics or personalization. Nice to have ... Exposure to routing, geospatial, or timeslot/scheduling systems. * Familiarity with system ...

Gensler

Design Technology Lead - Computation

New York, NY · On-site

$100K - $140K/yr

Research opportunities and implement the integration of additional datasets such as geospatial data ... Experience with various machine learning, LLMs & generative AI technologies, performance evaluation ...

T-Mobile

Senior Data Production Engineer

New York, NY · On-site

$105K - $189K/yr

... machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms ... Experience with production-level engineering around GIS and geospatial data processing. (Preferred)

Treeswift Inc

Full Stack Software Engineer

New York, NY · On-site

... machine learning, software engineering and coordinating large data collections in the field. We ... Experience with geospatial data and imagery data is a plus. What We Value * Mission first. We value ...

Kitware

Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Experience with deep learning methods is desirable, but not required * Experience with geospatial ... Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or ...

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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in New York

Machine Learning Geospatial information

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial specialist, and why are they important?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are popular job titles related to Machine Learning Geospatial jobs in New York? For Machine Learning Geospatial jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in New York look for? The top searched job categories for Machine Learning Geospatial jobs in New York are:
What cities in New York are hiring for Machine Learning Geospatial jobs? Cities in New York with the most Machine Learning Geospatial job openings:
Machine Learning Geospatial jobs near you
Postdoctoral Research Associate

Postdoctoral Research Associate

The Research Foundation of the City University of New York

Brooklyn, NY • On-site

$65K - $72K/yr

Full-time

Posted 24 days ago

Research Foundation of the City University of New York rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

212th of 689 rated non-profit organizations

Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).
The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.
We are pleased that you are interested in exploring opportunities to join RFCUNY.
Primary Location:
NYC COLLEGE OF TECHNOLOGY
Bargaining Unit:
No
The Center for Remote Sensing and Earth System Sciences (ReSESS)- City Tech, in collaboration with the Research Foundation of the City University of New York (RFCUNY), seeks a highly motivated Postdoctoral Research Associate to join an interdisciplinary research team focused on aquatic remote sensing and machine learning. The successful candidate will develop and apply advanced computational and remote-sensing approaches to study water-quality parameters and physical properties of inland aquatic systems using both satellite and drone-based imagery.
This position supports a collaborative research effort involving City Tech and external partner institutions. The project integrates multi-sensor data from satellites (e.g., Landsat, Sentinel-2) and unmanned aerial vehicles (UAVs) to improve understanding of how surface-water characteristics vary in response to climatic, geomorphological, and ecological factors. Research activities include the development and validation of methods for extracting and analyzing surface temperature, optical water-quality indicators, and other physical parameters, as well as the application of machine-learning tools for spatiotemporal analysis.
The Postdoctoral Research Associate will also contribute to data integration, quality assurance procedures (QAPP/DUAR standards), and scholarly dissemination through peer-reviewed publications, technical reports, and conference presentations.
  • Conduct research applying remote sensing, drone image analysis, and machine learning to assess water quality parameters and physical properties of lakes and reservoirs.
  • Develop, refine, and test computational workflows for processing and integrating multi-sensor datasets from satellite and UAV platforms.
  • Implement and document quality-assurance procedures and validation protocols for environmental datasets.
  • Prepare and submit manuscripts, progress reports, and conference presentations.
  • Collaborate with faculty, students, and partner institutions on data synthesis and dissemination.
  • Mentor undergraduate or graduate student researchers and contribute to proposal development for future research initiatives.

Additional Information
  • Start Date: March, 1, 2026
  • Appointment Duration: One year, renewable contingent upon performance and funding availability.
  • Worksite: New York City College of Technology, Brooklyn, NY
  • Expected Travel: Occasional travel (12 times per year) to research meetings or scientific conferences.

Other Duties
  • Engage with the CUNY research community to support interdisciplinary collaboration.
  • Assist with data curation, management, and documentation for consortium use.
  • Perform other related duties as assigned.

Minimum Qualifications:
  • Ph.D. in Environmental Science, Remote Sensing, or a closely related field (awarded by start date).
  • Demonstrated experience with satellite or drone remote sensing for environmental or aquatic systems.
  • Proficiency in scientific programming (Python, R, or equivalent).
  • Knowledge of machine-learning methods applied to environmental or geospatial data.
  • Excellent writing, analytical, and communication skills, with a record of scholarly publications.

Preferred Qualifications:
  • Experience with Python-based cloud computing or high-performance computing environments.
  • Background in hydrology, limnology, or biogeochemistry.
  • Experience mentoring students and working within interdisciplinary research teams.
  • Ability to travel and present research at professional conferences.

Pay Range:
$65,000 - $72,000
RFCUNY Benefits
RFCUNY Employee Benefits and Accruals
Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

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