9 months ago
Base Salary
$119k - $198k/yr
Responsibilities
- Develop Python-based machine-learning components that help users assess, understand, and improve spatial data quality.
- Design, develop, test, and integrate AI/ML algorithms into product releases.
- Build scalable ML pipelines and data engineering processes to improve system architecture.
- Develop robust, production-ready software using standard design patterns and deployment models.
- Collaborate with product engineers, researchers, Professional Services teams, domain experts, and technical specialists.
- Participate in an Agile Scrum team and iterative development cycles.
Requirements
- At least 5 years of professional experience in a similar role focused on Python, 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 is preferred.
- Knowledge of ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and enterprise geodatabases is preferred.
- Experience developing REST-based services and cloud deployment patterns is preferred.
- Understanding of AI concepts, model evaluation, and agentic workflows is preferred.
- A master's degree in computer science, mathematics, or a STEM-related field is preferred.
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 and twelve paid holidays annually.
- 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.