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# Machine Learning Engineer

- **Company:** Vantor Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $128,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Cloud Database, Cloud Storage, Databases, Information Engineering, Software Debugging, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Object Detection, PostGIS, Software Engineering, Spatial Data Infrastructures, Google Cloud, Cloud Platform System, Deep Learning, Backend, Kubernetes, Real-time Inference, Information Technology, Geospatial Data Abstraction Library (GDAL), Machine Learning Operations
- **Published:** October 7, 2026
- **Apply:** https://startup.jobs/machine-learning-engineer-vantor-services-inc-10354769

## About the Role

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

 * Experience deploying machine learning models into 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.

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 with 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: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

## Description

Vantor is seeking a Machine Learning Engineer to build the systems that turn raw satellite imagery into trusted, well-labeled data, and to develop machine learning algorithms to turn that data into models. Your work sets the quality, speed, and traceability of the datasets behind Vantor's geospatial and machine learning products. You will work closely with internal domain experts, external annotation partners, and Vantor's Machine Learning and Software Engineering teams to design robust, scalable, low-latency solutions.