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Overview
Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges.
Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.
As a Product Engineering Intern, you will contribute to the evaluation, benchmarking, testing, and analysis of geospatial AI systems and foundation models such as GeoVLM. You will work closely with engineers and researchers on workflows involving model validation, downstream-task benchmarking, embedding-based analysis, developer tooling, and reproducible testing pipelines. This role is ideal for candidates interested in the intersection of GIS, AI/ML, product engineering, and developer workflows.
Responsibilities
- Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality
- Review and analyse test results; report status on software quality and stability; test and certify software, SDK, and AI model quality
- Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement
- Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI
- Develop samples, tutorials, documentation, blog posts and presentation of product features
- Develop pre-trained geospatial AI models for imagery, 3D datasets and text
Requirements
- Pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, GIS, Data Science, Artificial Intelligence, or a related technical field
- Basic knowledge of GIS, remote sensing, and geospatial workflows
- Experience programming in Python
- Familiarity with machine learning or deep learning concepts
- Understanding of data analysis and visualization workflows
- Interest in AI model evaluation, benchmarking, and testing methodologies
- Strong problem-solving and analytical skills
- Good written and verbal communication skills
- Existing work authorization in India
Recommended Qualifications
- Strong knowledge of software QA methodologies, tools, and processes
- Experience working in an Agile/Scrum development process
- Hands-on experience with the ArcGIS suite of products or open-source GIS software
- Experience with remote sensing, satellite imagery, and multispectral image analysis
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The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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