4 часа назад
Software Engineer - Summer Intern 2027 (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer - Summer Intern 2027 (AI): Building server-side and user-facing applications, APIs, data pipelines, and platform services for machine learning products with an accent on scalable architecture, data processing, and production engineering. Focus on contributing to production code, designing reusable abstractions, and developing ingestion and processing systems with Python, TypeScript, AWS, and Kubernetes.
Location: In-person work required at the Cambridge headquarters or New York City office
Company
is S&P Global’s AI innovation hub, developing machine learning, natural language processing, data discovery, and financial generative AI solutions.
What you will do
- Contribute to real product features through implementation, code review, merging, and production deployment.
- Build server-side and user-facing applications on top of machine learning capabilities.
- Design interfaces, APIs, and services for immediate needs, future scaling, and reuse.
- Develop abstractions that support observability and deployment of the core platform.
- Build data ingestion and processing systems for software products and machine learning research.
- Participate in technical discussions and use dedicated learning time to explore new engineering practices.
Requirements
- Core expertise in an area such as distributed computing or strong knowledge of one of the technologies used.
- Practical understanding of algorithms, data structures, and design patterns.
- Personal projects, open-source contributions, or a portfolio of work.
- Ability to contribute across different teams and product areas.
- Effective coding, documentation, and communication habits.
- Interns must work in person from the Cambridge or New York City office.
Culture & Benefits
- Collaborative environment with experienced engineers and regular feedback through code reviews.
- Opportunities to learn from diverse perspectives and work on challenging data problems.
- Knowledge Days provide dedicated time for continuous learning and exploration.
- Access to technical and non-technical discussions and company-wide social events.
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