Imagery Product Engineer II- AI/Deep Learning
Role details
Job location
Tech stack
Job description
- Gather user and market requirements for AI and deep learning enhancements across imagery data management, visualization, and analytics workflows
- Design, develop, and automate quality and performance testing for AI-focused web applications in ArcGIS Enterprise and ArcGIS Online, such as Deep Learning Studio
- Help design, develop, and test enterprise and cloud DevOps services that support AI features for imagery
- Analyze daily test results and report quality status to the team
- Recommend and document best practices for enterprise and cloud deployment patterns that enable AI and deep learning use cases
- Become an expert in integrating ArcGIS AI features with modern cloud platforms, including Amazon AWS, Microsoft Azure, and Databricks
Requirements
- 2+ years experience in test automation development skills in Java, JavaScript, C#, or Python
- Knowledge of imagery formats and remote sensing data modalities from modern sensors such as Landsat or Sentinel-2
- Intermediate understanding of workflows for training, validating GeoAI deep learning models
- Understanding of inferencing at scale with GeoAI deep learning models
- Excellent writing and communication skills
- Eagerness and ability to learn new skills and contribute to building quality commercial software
- Bachelor's degree in computer science, geography, remote sensing, or a related field
Recommended Qualifications
- Experience in system integration or test engineering
- Hands-on experience training and deploying GeoAI models for imagery or remote sensing data
- Experience developing AI skills and agents for imagery or remote sensing workflows
- Experience solving GIS, remote sensing, or photogrammetry data analysis problems
- Experience researching or adopting foundation models such as Prithvi
- Experience with one or more cloud platforms (AWS, Microsoft Azure, Google Cloud, and more)
Benefits & conditions
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is $79,664-$133,120 USD