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Machine Learning Engineer

L6

vantorWestminster, COtoday

$128,000 - $215,600 per year

Occupations

Data ScientistsSoftware DevelopersComputer Systems Engineers/Architects

Industries

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesComputer Systems Design ServicesAll Other Professional, Scientific, and Technical Services
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 intotrusted, 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 designrobust, scalable, low-latencysolutions
  • 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
  • Trackdata lineage and versioningso each label can be traced back to its source image, guideline version, and annotator
  • Develop, adapt, and deploy models that generateproposed annotationsto reduce manual labeling effort and improve labeling decisions
  • Build and operateproduction 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 asingle continuously improving system
  • Requirements5+ yearsof relevant experience in machine learning engineering, data engineering, backend software engineering, or a closely related technical role
  • Hands‑on experience training, fine‑tuning, or adaptingdeep learning modelswith a modern ML framework
  • Experience deploying machine learning models in production, including buildingbatch or real‑time inference pipelinesand managing model versions
  • Hands‑on experience building and operating services on amajor cloud platform(managed compute, databases, storage, identity and access management)
  • Experience building and operating workflow orchestration for data or ML pipelines
  • Experience owningcontainerized services , CI/CD pipelines, andinfrastructure‑as‑code
  • Proven ability to support production systems, including debugging, observability, secure configuration, and incident response
  • Strong Pythonapplication 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
  • TechnologiesPythonDeep 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, PostGISGeoTIFF, GDAL, Rasterio, Shapely, Fiona, GeoPandasBenefits 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 achievedU.S. Person Eligibility To be eligible, you must be aU.S. person : U.S. citizen, permanent resident, Asylee, or Refugee Certain roles may be subject toU.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 GeoPandasExperience 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 - 215,600per 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 - $187,000.00annuallyBase pay in New Jersey:$128,000.00 - $170,000.00 - $187,000.00annuallyBase pay in Delaware:$128,000.00 - $170,000.00 - $187,000.00annuallyBase pay in Washington, DC metro area:$140,000.00 - $187,000.00 - $205,700.00annuallyBase pay in California:$147,000.00 - $196,000.00 - $215,600.00annually For other states, geographic cost of labor is used to develop market-driven ranges Application WindowThe application window isthree daysfrom 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
Location: Westminster, CO (onsite)
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Level

LeadL6

Salary

$128,000 - $215,600 per year

Location

Westminster, CO

Occupation

Data Scientists

Industry

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Posted

today

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