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Company

Maxar Technologies · 3 hours ago

Sr Staff Data Scientist

United States

Full-time

Remote

Senior Level, Lead/Staff

$107K/yr - $229K/yr

8+ years exp

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AerospaceGeospatial

No H1B

U.S. Citizen Only

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Responsibilities

You'll be responsible for the day-to-day data science work that fuels the insights engine: evaluating model performance, building datasets, and training new models, primarily for computer vision tasks, but also expanding into new domains and sources.

You’ll contribute to many of the tools that improve our ability to work with our models and data and enhance our MLOps ecosystem.

Driven by our product management partners, you’ll develop algorithmic solutions to complex customer problems, generating the machinery that deliver unparalleled geospatial insights.

You’ll work on problems like object detection and spatiotemporal analytics while working with Maxar’s high resolution satellites imagery, as well as other remote sensing and geospatial data sources.

Through collaboration with our Experiences and R&D teams, you’ll build data science systems that are guaranteed to directly support user and mission critical workflows.

You’ll collaborate with our geographically dispersed team primarily via Slack and Microsoft Teams.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonComputer VisionPyTorchHuggingFaceScikit-LearnLightningPostgreSQLObject Oriented ProgrammingMulti-band Image ProcessingKubernetesDockerAWSProduction PipelinesCloud-based WorkflowsPrometheusS3GitHubGitLabAgile MethodologiesNLPGraphsTime SeriesArgo WorkflowsDaskRaySparkElectro-optical ImagingRadar Image FormationTime-series Geospatial Data

Required

Bachelor's degree in a related field (e.g., Computer Science, Mechanical or Electrical Engineering, Systems Engineering, etc.), or equivalent experience.

8+ years of development experience

Must be a U.S. Person.

Strong Python skills!

Deep understanding of computer vision methods and practices

Recent experience with some of the following technologies and practices: ML tools like PyTorch, HuggingFace, Scikit-Learn, Lightning, etc.

Database and storage technologies like PostgreSQL, Prometheus, S3, etc.

Object Oriented Programming methodologies

GitHub, GitLab, or any other Git tools.

Experience in multi-band image processing and modeling techniques

Preferred

Master’s degree in a related field (e.g., Computer Science, Mechanical or Electrical Engineering, Systems Engineering, etc.), or equivalent experience

Understanding of Shape Up or Agile methodologies

Additional ML expertise beyond computer vision, including NLP, graphs, and time series

Experience with: Orchestration and deployment infrastructure like Kubernetes, Docker, and Argo Workflows

AWS managed services, especially Lambdas/State Machines, Batch, EKS, and Cloudwatch

Distributed computing frameworks like Dask, Ray, and Spark

Experience building, managing, and engineering production pipelines associated with large scale geospatial datasets

Experience in developer-operations, cloud-based image processing workflows, and cloud-based cost reduction strategies

Knowledge of electro-optical and radar satellite image formation, radiometry, and image acquisition metadata

Experience working with time-series geospatial data