7 months ago
Base Salary
$119k - $198k/yr
Responsibilities
- Develop Python-based machine-learning components that improve spatial data-quality assessment and management
- Design, develop, test, and integrate AI/ML algorithms into product releases
- Build scalable ML pipelines and data-engineering processes
- Develop production-ready software using standard design patterns, development methodologies, and deployment models
- Collaborate with product engineers, researchers, Professional Services product teams, and domain experts
- Work in an Agile Scrum team through iterative development cycles
Requirements
- At least 5 years of professional experience in a similar position with emphasis on Python and machine-learning or AI systems
- Strong understanding of object-oriented principles, software architecture, and API design
- Ability to analyze software and algorithms and identify improvements
- Experience developing software with Python, ML frameworks, and RAG systems
- Bachelor’s degree in computer science, mathematics, or a STEM-related field
- Familiarity with C++ in large-scale or performance-critical software environments is beneficial
- Experience analyzing large geospatial datasets and working with vector databases
- Knowledge of ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and enterprise geodatabases
- Experience developing REST-based services and using cloud deployment patterns
- Understanding of AI concepts, model evaluation, and agentic workflows
- Experience with Agile development methodologies and CI/CD pipelines
- A master’s degree in computer science, mathematics, or a STEM-related field is preferred
Benefits
- Medical, dental, vision, basic and supplemental life insurance
- 401(k) and profit-sharing programs
- Minimum accrual of 80 hours of vacation leave
- Twelve paid holidays per calendar year
- Opportunities for personal and professional growth
Categories
About Esri
Esri is the global market leader in geographic information system (GIS) software, location intelligence, and mapping. Since 1969, we have supported customers with geographic science and geospatial analytics, what we call The Science of Where. We take a geographic approach to problem-solving, brought to life by modern GIS technology.