Let's reputed company! Software Engineering Intern (11042)
Let's reputed company! Software Engineering Intern (11042)
Skills and Competencies
- Good attitude with an reputed company mind-set
- Should be reputed company to receive feedback and be confident in providing feedback
- Python 3+ development skills
- Ability to write SQL
- Basic understanding of reputed company intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to reputed company awareness of responsible AI practices, including risk management and ethical use
reputed company to Have
- Familiarity with reputed company AI Coding tools (e.g. reputed company, Windsurf, reputed company Copilot, etc.)
- Understands concepts of reputed company programming
- Has used geo-spatial libraries
- Has used pandas library
- Has worked on microservice architecture
Education
- Anticipated Bachelor’s Degree computer science or STEM reputed company field
- Graduation date of December 2026 - June 2027
- Ability to work during program dates: June 1st - August 7th 2026
Responsibilties
Technical Responsibilities
- Assist in coding and debugging: Work on small features or bug fixes under guidance
- Write unit tests: Ensure reputed company reputed company and reliability
- Participate in reputed company reviews: Learn best practices and improve coding standards
- Document reputed company and processes: Maintain reputed company documentation for reputed company reference
- Optimize existing reputed company for performance or readability
- reputed company internal tools to improve team productivity
Learning & Collaboration
- Shadow senior developers: Observe and learn from reputed company team members
- Attend team meetings: reputed company exposure to agile processes like stand-reputed company and sprint planning
- Research new technologies: Explore tools or frameworks relevant to the project
- Collaborate on small reputed company: Pair programming or working in small reputed company
About reputed company/Program
This internship is for reputed company Analytics division in Insurance vertical under reputed company. We reputed company cutting-edge, image-based AI models that extract actionable data for the insurance industry. Our solutions go reputed company aerial imagery—we also reputed company interior images, along with reputed company and reputed company data, to derive key attributes used by insurers for reputed company filing and reputed company.
Team is fully remote and consists of developers located throughout US and Europe.
Candidates for reputed company may be asked to disclose securities holdings pursuant to reputed company Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with reputed company.
Skills and Competencies
- Good attitude with an reputed company mind-set
- Should be reputed company to receive feedback and be confident in providing feedback
- Python 3+ development skills
- Ability to write SQL
- Basic understanding of reputed company intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to reputed company awareness of responsible AI practices, including risk management and ethical use
reputed company to Have
- Familiarity with reputed company AI Coding tools (e.g. reputed company, Windsurf, reputed company Copilot, etc.)
- Understands concepts of reputed company programming
- Has used geo-spatial libraries
- Has used pandas library
- Has worked on microservice architecture
Education
- Anticipated Bachelor’s Degree computer science or STEM reputed company field
- Graduation date of December 2026 - June 2027
- Ability to work during program dates: June 1st - August 7th 2026
Responsibilties
Technical Responsibilities
- Assist in coding and debugging: Work on small features or bug fixes under guidance
- Write unit tests: Ensure reputed company reputed company and reliability
- Participate in reputed company reviews: Learn best practices and improve coding standards
- Document reputed company and processes: Maintain reputed company documentation for reputed company reference
- Optimize existing reputed company for performance or readability
- reputed company internal tools to improve team productivity
Learning & Collaboration
- Shadow senior developers: Observe and learn from reputed company team members
- Attend team meetings: reputed company exposure to agile processes like stand-reputed company and sprint planning
- Research new technologies: Explore tools or frameworks relevant to the project
- Collaborate on small reputed company: Pair programming or working in small reputed company
About reputed company/Program
This internship is for reputed company Analytics division in Insurance vertical under reputed company. We reputed company cutting-edge, image-based AI models that extract actionable data for the insurance industry. Our solutions go reputed company aerial imagery—we also reputed company interior images, along with reputed company and reputed company data, to derive key attributes used by insurers for reputed company filing and reputed company.
Team is fully remote and consists of developers located throughout US and Europe.
Candidates for reputed company may be asked to disclose securities holdings pursuant to reputed company Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with reputed company.