9 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 develops the ArcGIS geographic information system platform for mapping, spatial analytics, and location intelligence used by governments, utilities, transportation, natural resources, and commercial enterprises. The privately held company, founded in 1969 and headquartered in Redlands, California, monetizes through software licenses and subscriptions, cloud services, data, training, and consulting. Its tools power web and mobile mapping, geospatial APIs, and enterprise systems for planning, operations, and emergency management worldwide.