Machine Learning Engineer

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)