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Machine Learning Geospatial Jobs in New York (NOW HIRING)

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

NBCUniversal

Developpeur SIG (niveau staff)

Manhattan, NY · On-site

$17 - $21.75/hr

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will ... Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms ...

NBCUniversal

Developpeur SIG principal

Manhattan, NY · On-site

In this role, you will contribute to driving geospatial data and tooling needs for a large-scale ... Coordinate with AI/ML team to provide diverse data for developing new machine learning algorithms ...

City of New York

GIS Lead Specialist

Manhattan, NY · On-site +1

... machine learning techniques to identify geospatial errors on DOF's Digital Tax Map on the Property Information Portal (PIP). - Assist in the development of GIS projects such as the development of ...

New

City of New York

GIS Lead Specialist

Manhattan, NY · On-site

$100K - $125K/yr

... machine learning techniques to identify geospatial errors on DOF's Digital Tax Map on the Property Information Portal (PIP). -Assist in the development of GIS projects such as the development of ...

New

City of New York

GIS Lead Specialist

Manhattan, NY · On-site +1

... machine learning techniques to identify geospatial errors on DOF's Digital Tax Map on the Property Information Portal (PIP). - Assist in the development of GIS projects such as the development of ...

New

T-Mobile

Senior Data Engineer, Spark/GCP

New York, NY · On-site

$105K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

... databases, - Build predictive machine learning models - Performing ad-hoc data analysis ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site +1

... databases, - Build predictive machine learning models - Performing ad-hoc data analysis ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site

$100K - $125K/yr

... machine learning models -Performing ad-hoc data analysis -Contributing to ongoing data analysis ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

City of New York

Data Scientist, RIS

Manhattan, NY · On-site

... machine learning models -Performing ad-hoc data analysis -Contributing to ongoing data analysis ... Proven track record of conducting quantitative and/or geospatial research. Work Location: 55 Water ...

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Showing results 41-59

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 the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

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 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 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

Data Scientist

Bedrock Robotics

New York, NY • On-site

Full-time

Re-posted 10 days ago

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.
The Role:
Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators.
You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions.
What you'll do:
  • Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems
  • Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability
  • Define and track key metrics that measure system behavior and product outcomes
  • Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams
  • Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis
  • Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions
  • Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale

Required Qualifications:
  • 5+ years of experience in data science, applied analytics, or applied machine learning roles
  • Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization
  • Ability to work independently, define analytical approaches, and drive projects from concept to insight
  • Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)
  • Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data
  • Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows
  • Proficiency in Python and SQL, with experience using modern tooling like agentic AI
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.

Apply