Imagery Scientist (EO) - Expert

GRVTY, LLC
Falls Church, VA, United States
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Extract Transform Load (ETL) Python (Programming Language) MATLAB Machine Learning Metadata

Job description

GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead Electro-Optical subject matter expert (SME) on our dynamic team. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You’ll be Owning

  • Serve as the lead technical authority for EO exploitation and imagery science initiatives.
  • Analyze:
  • EO collection capabilities
  • Sensor phenomenology
  • Image formation processes
  • Exploit imagery to identify and locate objects of interest across intelligence scenarios

  • Develop, test, and evaluate:

  • New algorithms
  • Exploitation methodologies
  • Scientific workflows
  • Automated processing techniques

Utilize advanced processing tools including:

  • Python
  • MATLAB
  • Google Earth Engine

Support automation of EO scientific processing and analysis workflow

Assess emerging EO sensor characteristics and capabilities

Evaluate impacts to:

  • Metadata structures
  • Data formats
  • APIs and ETL processes
  • Existing operational pipelines

  • Develop strategies to:

  • Pre-process EO imagery
  • Normalize and standardize datasets
  • Convert formats and tile imagery

Prepare imagery for:

  • Labeling
  • Model testing
  • Advanced exploitation workflows

Investigate gaps in emerging EO sensor capabilities

Collaborate with SAR Imagery Scientists to:

  • Identify coincident imagery opportunities
  • Align EO imagery with temporal and geographic collection windows

Requirements

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience
  • Demonstrated expertise in:
  • EO collection systems
  • Remote sensing phenomenology
  • Image formation processes
  • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
  • Detect
  • Identify
  • Locate objects of interest
  • Experience developing and evaluating:
  • Algorithms
  • Scientific workflows
  • Exploitation methodologies

  • Hands-on experience using:

  • Python
  • MATLAB
  • Google Earth Engine
  • EO imagery processing tools

Experience automating scientific processing workflows

  • Experience developing and evaluating:
  • Algorithms
  • Automated workflows
  • Scientific exploitation methods
  • Deep understanding of:
  • Remote sensing principles
  • EO imagery processing
  • Advanced exploitation methods
  • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
  • Technical audiences
  • Non-technical stakeholders
  • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · WWC 2022

2:40 min

Motivations for transitioning legacy MATLAB repositories to Python

Michael Niebisch Michael Niebisch · WWC 2024

3:50 min

Combining distinct processing modalities to elevate network intelligence

Ekaterina Sirazitdinova · LIVE

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

Videos

See all

Related articles

See all