Geospatial Ml Engineer Jobs

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Today

Machine Learning Engineer

Vantor Inc. Westminster, CO

Westminster, CO

Today

$128k - $216k/yr Full time Artificial Intelligence Cloud Cloud Native

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Job Description

Vantor Inc. is hiring a Machine Learning Engineer to transform raw satellite imagery into trusted, well-labeled data and to build, deploy, and operate machine learning models and production inference pipelines based on that data.

Responsibilities

Build systems that convert raw satellite imagery into trusted, well-labeled data.
Develop machine learning algorithms that use the labeled data to produce models.
Design robust, scalable, low-latency solutions in collaboration with internal domain experts, external annotation partners, and Vantor’s Machine Learning and Software Engineering teams.
Create pipelines for large geospatial imagery and metadata, including sensor, acquisition, and geolocation attributes, and ensure reliable data movement between annotation, storage, and model training systems.
Track data lineage and versioning to trace every label back to its source image, guideline version, and annotator.
Develop, adapt, deploy models that propose annotations to reduce manual labeling effort and improve labeling decisions.
Build and operate production inference pipelines.
Evaluate model performance against labeled data.
Use model feedback to determine which imagery should be prioritized for labeling next.
Ship a reliable data service and connect it with training and deployment of computer vision models into a continuously improving system.

Requirements

5+ years of relevant experience in machine learning engineering, data engineering, backend software engineering, or a closely related technical role.
Hands-on experience training, fine-tuning, or adapting deep learning models using a modern ML framework.
Hands-on experience deploying machine learning models in production, including building batch or real-time inference pipelines and managing model versions.
Hands-on experience building and operating services on a major cloud platform, including managed compute, databases, storage, and identity and access management.
Experience building and operating workflow orchestration for data or ML pipelines.
Experience owning containerized services, CI/CD pipelines, and infrastructure-as-code.
Proven ability to support production systems, including debugging, observability, secure configuration, and incident response.
Strong Python application development skills.
Bachelor’s degree in Computer Science, Machine Learning, Data Engineering, Geospatial Science or GIS, Remote Sensing, or a related discipline, or equivalent demonstrated experience.

Technologies

Python
Deep learning models
Managed compute
Databases
Storage
Identity and access management
Containerized services
CI/CD pipelines
Infrastructure-as-code
Batch or real-time inference pipelines
Cloud Run
Cloud SQL
Cloud Storage
IAM
Service account management
Vertex AI
Vertex AI Pipelines
Model deployment
Kubeflow Pipelines
PostgreSQL
PostGIS
GeoTIFF
GDAL
Rasterio
Shapely
Fiona
GeoPandas

Benefits

Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance
Incentive eligible with a target based on contribution, company performance, and/or individual results achieved

Eligibility

To be eligible for this position, you must be a U.S. person as defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control / ITAR

Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Preferred Qualifications

Experience with Google Cloud Platform services, including Cloud Run, Cloud SQL, Cloud Storage, IAM, and service account management.
Experience with Vertex AI, including Vertex AI Pipelines, training jobs, and model deployment, or similar tools such as Kubeflow Pipelines.
Experience with PostgreSQL and PostGIS, including spatial data modeling and managing schema migrations in production.
Experience working with satellite or aerial imagery, including raster formats such as GeoTIFF, coordinate reference systems, and tools such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
Experience developing computer vision models for tasks such as object detection, semantic or instance segmentation, or change detection, ideally applied to overhead imagery.

Pay Transparency

Salary range: USD 128,000 - 215,600 per year
Base pay within Colorado: $128,000.00 - $170,000.00 - $187,000.00 annually
Base pay within New Jersey: $128,000.00 - $170,000.00 - $187,000.00 annually
Base pay within Delaware: $128,000.00 - $170,000.00 - $187,000.00 annually
Base pay within the Washington, DC metropolitan area: $140,000.00 - $187,000.00 - $205,700.00 annually
Base pay within California: $147,000.00 - $196,000.00 - $215,600.00 annually
For all other states, geographic cost of labor is used to develop market-driven ranges, so each location where Vantor hires may have a different range.
Starting pay falls within the listed range and is based on factors such as experience, qualifications, skills, location, and market conditions.
Candidates meeting minimum requirements should not expect compensation at the top of the range.

Application Window

The application window is three days from the date the job is posted and remains open until a qualified candidate is identified.
If reposted, it will remain posted for three days from the repost date and continue until a qualified candidate is identified.
The job posting date is listed on Vantor’s Career page at the top of each job posting.

To Apply

Submit your application via Vantor’s Career page.

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