Geospatial Ml Data 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 (onsite) to transform raw satellite imagery into trustworthy labels and production-ready computer vision models.

Responsibilities

Build systems that convert raw satellite imagery into trusted, well-labeled data
Develop machine learning algorithms that use labeled data to produce models
Partner with internal domain experts, external annotation partners, and Vantor’s Machine Learning and Software Engineering teams to design robust, scalable, low-latency solutions
Create pipelines for large geospatial imagery and metadata, including sensor, acquisition, and geolocation attributes, and move data reliably between annotation, storage, and model training systems
Track data lineage and versioning so each label can be traced back to its source image, guideline version, and annotator
Develop, adapt, and deploy models that generate proposed 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 labeled next
Ship a reliable data service, train and deploy a computer vision model, and connect both into a single 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 with a modern ML framework
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 (managed compute, databases, storage, 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 (IAM), service account management
Containerized services, CI/CD pipelines
Infrastructure-as-code
Batch or real-time inference pipelines
Cloud Run, Cloud SQL, Cloud Storage
Vertex AI, Vertex AI Pipelines
Model deployment, Kubeflow Pipelines
PostgreSQL, PostGIS
GeoTIFF, GDAL, Rasterio, Shapely, Fiona, GeoPandas

Benefits

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

U.S. Person Eligibility

To be eligible, you must be a U.S. person: U.S. citizen, permanent resident, Asylee, or Refugee
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 schema migrations in production
Experience working with satellite or aerial imagery and raster formats such as GeoTIFF, coordinate reference systems, and tools including GDAL, Rasterio, Shapely, Fiona, and GeoPandas
Experience developing computer vision models for object detection, semantic or instance segmentation, or change detection, ideally for overhead imagery

Pay Transparency

Salary range: USD 128,000 - 215,600 per year
Starting pay within the range 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
Base pay in Colorado: $128,000.00 - $170,000.00 - $187,000.00 annually
Base pay in New Jersey: $128,000.00 - $170,000.00 - $187,000.00 annually
Base pay in Delaware: $128,000.00 - $170,000.00 - $187,000.00 annually
Base pay in Washington, DC metro area: $140,000.00 - $187,000.00 - $205,700.00 annually
Base pay in California: $147,000.00 - $196,000.00 - $215,600.00 annually
For other states, geographic cost of labor is used to develop market-driven ranges

Application Window

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

To Apply

Submit your application via Vantor’s Career page

Location: Westminster, CO (onsite)

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